With the HDR Feature, You Can Make Your Images Look More Realistic and Add More Depth to Them. But if You Are Clueless as to How This Can Be Done Using Your Android Devices and the Best Situations for the Same, Then This Article Will Just Be an Apt Read

The present-day high-end smartphones, like iPhone, Samsung, and Huawei, come packed in with advanced camera features that can let you capture interesting and bright images having depth. To get this done, you first need to check if your smartphone has an HDR mode and if it does, how to use the same.

So, we are here to help you to learn in detail about HDR Android photography and how to use the HDR mode on your smartphone. Keep reading till the read and we assure you that you will be able to capture some breath-taking images with your phone.

Part 1: What is HDR photography?

First things first. Before using the HDR feature on your smartphone, let’s learn what actually is the function of HDR.

Standing for High Dynamic Range, HDR is an image capturing method where the dynamic range of an image is high. When we talk about dynamic range, it refers to the difference between the lightest and the darkest elements of a picture. Thus, in HDR images the range dynamic range of the image is greater than the actual capture and thus making the image look more real with higher contrast, colors, and saturation.

While using the HDR image capturing method, the subject is captured in multiple shots having different exposures. These multiple captured shots are then combined into a single picture thus making it look detailed and saturated.

Though HDR enhances the overall looks of an image it is not suitable only in certain situations and subjects like landscape, subjects captured in sunlight or bright background, low or dim light conditions, and more.

Part 2: How to tell if I can shoot HDR images on my Android devices or not?

HDR images can be captured using DSLR cameras, but you need to have a thorough knowledge of the camera and the process of capturing the HDR images. A simpler alternative to this is using an Android device. The principle of capturing HDR images using an Android phone is simpler in comparison to a professional DSLR camera and also quick. Using an Android device, the imbalance in the exposure is corrected and the details of the image background, as well as the foreground, are enhanced.

How-to steps to check the HDR camera Android feature

So now that you know that HDR images can be easily captured using your Android device, the next important thing is to check if your phone supports the HDR feature or not as not all Android devices have the HDR mode. Below listed are some of the options where you can the HDR option in the camera app of your Android device.

• Check for the HDR option under the Shooting Mode menu (this can be found on high-end Samsung phones.)
• In the devices like HTC One X, Desire X, and others with custom Camera apps, the feature can be found under the Camera Scenes section.
• In case you cannot locate the HDR option in both the above methods then try looking for it under the Settings menu of Camera. Devices like Sony Xperia T and Xperia V have the option here.
• For the Nexus 4 device that runs on Android 4.2 OS, the option of HDR mode can be turned on by simply long-tapping the viewfinder and then tapping on the HDR icon.
• You may also find the option of HDR mode under the labels like Backlight HDR or Backlight Correction HDR. On the Samsung Galaxy devices, HDR is labeled as Rich Tone and can be located under the Smart Modes menu.

Part 3: How to Take an HDR Shot with Your Android devices?

Once you have found the HDR mode on your Android device, using the feature is simple.

Below listed are the steps to take HDR shots on your Android phone.

Step1 First of all, open the camera app on your phone and find the option of HDR.

Step2 Enable the HDR option on your device.

Step3 Once the feature is enabled, you simply need to capture images like you would normally do- point and focus on the image subject and click the image.

The rest will be taken care and your HDR shot image will be captured.

Note: ensure to hold your phone with stable hands while capturing the image or you can even use a tripod. In Samsung devices, two images will be captured- one with normal exposure and the other one with HDR (image name having HDR word). You can choose the one as required.

Part 4: How to Use HDR Apps android to take HDR photography

As we have mentioned above not all Android phones come with HDR function. So, if your device does not have this function, no need to worry as there are Android apps available for the same. You can search and download one such HDR-capable camera app on your device from Google Play Store and enjoy capturing HDR images.

One such widely used app is HDR Camera that simple to use and allows for capturing high-quality HDR pictures. Using the upgraded version of the app you can even edit your captured images.

Steps to using HDR Camera Apps

Step1 First of all, download, install, and launch the HDR Camera app on your Android smartphone.

Step2 The interface of the app looks like the interface of the Android camera and the majority of the screen is taken up by the viewfinder.

Step3 Next, simply start taking the picture as you would do normally by pointing towards the subject and clicking on the shutter button.

Step4 If you have opted for the advanced version of the app, you can even add a pre-set filter or edit your images as needed.

Step5 Finally, save the HDR-captured image on your phone.

Part 5: Video Guide HDR on your Android device

If you are still not clear about using the HDR feature on your Android smartphone, the YouTube video tutorial will help you to learn the entire process.

https://www.youtube.com/watch?v=myMGalkNiP8

Part 6: Pro tip: How to Edit HDR Video without Washed Out Color

In several situations, you would want to edit the HDR videos recorded using your phone or other device but the major problem lies when the editing makes your video washed out. So, to ensure that this does not happen with your recordings, we suggest using a professional tool and one of the best that we recommend here is Wondershare Filmora .

This is a versatile Windows and Mac-based software that can let you edit and customize videos simply and quickly. The software is known for its multi-video editing facilities, it comes packed in with all basic as well as advanced features that may be needed for enhancing your overall videos.

The software supports all key video formats and to further make the files look interesting, you can add multiple effects supported by the tool.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Steps to edit HDR videos using Wondershare Filmora

Step1 Download, install, and launch the software on your system. Click on the Create New Project on the main interface.

Step2 On the next screen that appears, tap on the Import Media Files Here button to browse and add the HDR video that has to be edited. Multiple files can be added here for batch processing.

Step3 Next, drag and move the added videos to the timeline at the bottom of the software interface. After the videos are added to the timeline, you can edit using the editing tool as needed.

Step4 When done with editing, click on the Export button, choose the target format, also, click the ‘Export Color Space’ drop/down icon from the ‘settings’ to change HDR video output quality (default quality is SDR - Rec.709). Then click on the ‘OK’ button once you’re done to finalize the operation.

Final Words

To take your mobile photography to another level and capture interesting and bright images, HDR mode is one of the great options to use. So, even if your smartphone does not support the HDR feature, install an app from the Google Store. When it comes to HDR videos and their editing, Wondershare Filmora works as the best tool as it helps to add those little tweaks and customize your files without worrying about the quality or washed-out color.

Part 4: How to Use HDR Apps android to take HDR photography

As we have mentioned above not all Android phones come with HDR function. So, if your device does not have this function, no need to worry as there are Android apps available for the same. You can search and download one such HDR-capable camera app on your device from Google Play Store and enjoy capturing HDR images.

One such widely used app is HDR Camera that simple to use and allows for capturing high-quality HDR pictures. Using the upgraded version of the app you can even edit your captured images.

Steps to using HDR Camera Apps

Step1 First of all, download, install, and launch the HDR Camera app on your Android smartphone.

Step2 The interface of the app looks like the interface of the Android camera and the majority of the screen is taken up by the viewfinder.

Step3 Next, simply start taking the picture as you would do normally by pointing towards the subject and clicking on the shutter button.

Step4 If you have opted for the advanced version of the app, you can even add a pre-set filter or edit your images as needed.

Step5 Finally, save the HDR-captured image on your phone.

Part 5: Video Guide HDR on your Android device

If you are still not clear about using the HDR feature on your Android smartphone, the YouTube video tutorial will help you to learn the entire process.

https://www.youtube.com/watch?v=myMGalkNiP8

Part 6: Pro tip: How to Edit HDR Video without Washed Out Color

In several situations, you would want to edit the HDR videos recorded using your phone or other device but the major problem lies when the editing makes your video washed out. So, to ensure that this does not happen with your recordings, we suggest using a professional tool and one of the best that we recommend here is Wondershare Filmora .

This is a versatile Windows and Mac-based software that can let you edit and customize videos simply and quickly. The software is known for its multi-video editing facilities, it comes packed in with all basic as well as advanced features that may be needed for enhancing your overall videos.

The software supports all key video formats and to further make the files look interesting, you can add multiple effects supported by the tool.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Steps to edit HDR videos using Wondershare Filmora

Step1 Download, install, and launch the software on your system. Click on the Create New Project on the main interface.

Step2 On the next screen that appears, tap on the Import Media Files Here button to browse and add the HDR video that has to be edited. Multiple files can be added here for batch processing.

Step3 Next, drag and move the added videos to the timeline at the bottom of the software interface. After the videos are added to the timeline, you can edit using the editing tool as needed.

Step4 When done with editing, click on the Export button, choose the target format, also, click the ‘Export Color Space’ drop/down icon from the ‘settings’ to change HDR video output quality (default quality is SDR - Rec.709). Then click on the ‘OK’ button once you’re done to finalize the operation.

Final Words

To take your mobile photography to another level and capture interesting and bright images, HDR mode is one of the great options to use. So, even if your smartphone does not support the HDR feature, install an app from the Google Store. When it comes to HDR videos and their editing, Wondershare Filmora works as the best tool as it helps to add those little tweaks and customize your files without worrying about the quality or washed-out color.

Read on to Learn About OpenCV Object Tracking, What It Is, and How to Implement It in Python, and OpenCV

OpenCV Tracking is a popular method used for tracking objects in a video in real-time. OpenCV is a powerful library used for image processing and computer vision applications.

From real-time video analysis to Augmented Reality, OpenCV Tracking has a wide range of uses and can help both private and public sectors to detect and track the desired object in an image or video.

In this comprehensive guide, we’ll explore OpenCV Tracking and its pre-built trackers**.** We will use the OpenCV library and Python to implement this Object Tracking application.

1. SOT & MOT
2. The Difference Between Tracking And Detection

• Types Of Object Tracking

1. Image Tracking
2. Video Tracking

• What Are The Difficulties Of Object Tracking
• Stages Of The Object Tracking Process

1. Stages Of The Object Tracking Process
2. Methods Of Object Tracking

• The powerful backup: OpenCV

1. What Is OpenCV
2. The Pre-Built Algorithms OpenCV Offers For Object Tracking
3. Implementation In Python And OpenCV

Part 1. What Is Object Tracking?

Object Tracking determines the location of an object in a video and can be used for a variety of purposes, including surveillance, security, traffic control, digital forensics, anomaly detection, gesture recognition, visual surveillance, human-computer interaction, augmented reality, and robot vision.

Even though it may seem easy for an average person, object tracking is quite complex for computers because they have to analyze a set of frames and estimate the object’s trajectory based on numbers instead of images.

Because of how complicated it is, Object Tracking is considered one of the most difficult tasks in computer vision. Even though it’s a challenge, it’s not impossible to accomplish.

And there are two levels of Object Tracking that you should learn about:

1. SOT & MOT

1. Single Object Tracking (SOT): SOT is a tracking algorithm that creates advanced appearance models and/or motion models to manage difficult issues like out-of-plane rotations, illumination variations, or scale changes.
2. Multiple Object Tracking (MOT): MOT tracks every part of a video and is mainly concerned with mid-level tasks and serves as a foundation for high-level tasks.

2. The Difference Between Tracking And Detection

After knowing what Object Tracking is, there is another concept you should also be aware of - Object Detection.

The Object Tracking and Object Detection are two important methods in computer vision. Object Tracking tracks the position of a given object in an image in real-time, while Object Detection identifies and localizes objects in an image or video. That is the difference.

Part 2. Types Of Object Tracking

Image Tracking

Image tracking allows users to interact with digital content more naturally and helps users move and interact with digital objects in the same manner as they will with real-world physical objects.

Image tracking can be used in various augmented reality (AR) applications, such as AR gaming, shopping, and navigation. Moreover, you can also use it for educational purposes, such as teaching anatomy or providing instructions for a difficult task.

Video Tracking

Video tracking is the process of tracking objects in a video sequence and can be used for various applications, such as detecting and counting objects in a scene, understanding their motions, and recognizing activities.

Part 3. What Are The Difficulties Of Object Tracking?

As what has been mentioned above, the use of object tracking is versatile. However, there are some challenges associated with Object Tracking, such as:

Background Clutter: The background can impact extracting an object’s features. If the background is more densely populated, detecting or tracking the object of interest can be more difficult.

Occlusion: This is a phenomenon where the object being tracked is affected by the background or foreground. This causes the tracking algorithm to get confused due to multiple objects coming close together, hence, losing track of the object.

Varying spatial scales: Varying spatial scales refer to the target object being of a different size or shape, which can confuse the algorithm, leading to errors.

Training and Tracking Speed: If the object is moving too fast or is too small, it can be difficult to track. Therefore, the tracking module has to be designed to track, identify, and localize objects in a matter of seconds.

Part 4. Stages Of The Object Tracking Process

After the introduction of object tracking technically, let’s learn about its mechanism of it from two sides: periods of the working process and the way it tracks.

1. Stages Of The Object Tracking Process

Following are the stages of the Object Tracking process:

Target Initialization

Target initialization is the first step in Object Tracking and involves defining the targets or objects of interest and drawing a bounding box around them in the initial frame. After that, the tracker has to detect the position of the object in the frame while drawing the bounding box.

Appearance Modeling

Appearance modeling is important for understanding how an object will look under different circumstances. If the object being tracked changes appearance due to different lighting, angle, or speed, the tracking algorithm may lose its information and the object itself. Therefore, it has to be conducted to let the algorithm detect the changes and distortion.

Motion Estimation

Motion estimation entails the capacity of the model to anticipate an object’s future position with precision.

Target Positioning

Motion estimation is a process of approximating the most likely region where an object could be present. After the object’s location is approximated, a visual model can be used to determine the target’s location more accurately.

2. Methods Of Object Tracking

Here’re some methods of Object Tracking:

OpenCV-Based Object Tracking

OpenCV Object Tracking method is widely used because it offers several built-in functions designed specifically for this purpose, such as GOTURN, MIL, MediandFlow, and CSRT. The tracker type you select will depend on your specific application design. Each tracker has its pros and cons, so there is not a single type of tracker ideal for all applications.

MDNet

Multi-Domain Convolutional Neural Network Tracker is a convolutional neural-based visual tracker and has won the VOT2015 challenge. Moreover, it is composed of domain-specific layers, branches, and multiple shared layers.

The MDNetT tracker is a deep neural network that is trained on numerous Object Tracking datasets. The tracker is designed to work in multiple domains, including video, text, and images.

DeepSort

DeepSort algorithm can track objects in real-time and uses YOLO v3 to compute the bounding boxes around the objects in a frame.

DeepSort uses Kalman filter from Simple Online and Realtime Tracking algorithm and an identification model, ReID to interlink bounding boxes and object tracks.

ROLO

ROLO is a novel Object Tracking method that uses recurrent neural networks (RNNs) to learn object-specific Spatio-temporal representations. This method works with YOLO, an object detection algorithm, and an LTSM for determining the trajectory of an object.

Part 5. The powerful backup: OpenCV

We have demonstrated how powerful OpenCV Tracking is and how it works. However, do you wonder what OpenCV is? How it supports the tracking goals being achieved? In this part, we will focus on OpenCV and help you better understand the the underlying mechanisms.

1. What Is OpenCV?

OpenCV is a powerful library that allows you to perform image processing, deep learning, machine learning, and computer vision tasks on live video feeds. Moreover, it can be used to detect objects, track their movements, and recognize faces.

It can help process the data that have videos and images and has been used in various applications, such as object recognition and detection, autonomous cars, robots, medical image analysis, automated surveillance, and anomaly detection.

2. The Pre-Built Algorithms OpenCV Offers For Object Tracking

There are 8 pre-built algorithms that OpenCV offers for Objects Tracking. All of them have their uniquility and here we will present their pros and cons for your better understadning.

Tracker	Pros	Cons
BOOSTING Tracker	Track objects accurately.	Relatively slow. Unable to stop when an object is lost.
MIL Tracker	Strong resistance to noise. Gives accurate results.	Low speed. Unable to stop tracking once the object is lost.
KCF Tracker	High speed and accuracy. Stops tracking when the object is lost.	Inability to continue tracking objects once lost.
TLD Tracker	Resistance to overlapping and object scaling.	Unstable in object detection and tracking. Constantly loses object.
MEDIANFLOW Tracker	High accuracy and speed. Accurate in determining the object’s loss.	Loses object quickly due to high speed.
GOTURN Tracker	Shows resistance to obstructions and noise.	If the speed of an object is high, it shifts to another object.
MOSSE Tracker	Able to continue tracking after the object is lost. High speed.	Loses object easily if very high speed.
CSRT Tracker	Good resistance to overlapping. High accuracy.	Low speed. Unstable when an object is lost.

3. Implementation In Python And OpenCV

Now, after theoretical explanation of OpenCV and OpenCV Tracking, let’s learn Object Tracking OpenCV Python with coding and our simple and step-by-step instructions:

Install The Dependencies

Install the pycharm app on your PC, and launch it. Create a new project and go to Terminal. Install the opencv-contrib-python package by pasting the following command into the Terminal.

Set Up the Trackers

Now, create a Jupyter-notebook and set up the trackers with this code:

Tasks:

• cv2. version returns the OpenCV library version number.
• Save the name of the eight trackers.
• Check the list for the version you are working on and create a tracker object based on the number.

Capture The Video Input

For capturing the video input, write the following lines of code:

Tasks:

• Use the VideoCapture class to capture a video via the webcam or get a saved one from your PC.
• In VideoCapture - line 2, give the path to your video.
• Comment on the second line to use the webcam for tracking and uncomment the third one.

Creating The Bounding Box And Initializing The Tracker

Define an initial random bounding box or select the choices for the object you want to track with the following code:

Start The Tracker And Check The Output

Finally, write the below code lines to start the tracker:

Tasks

• Read each video frame.
• Start the timer and, through the tracker, determine the trajectory of the object.
• Use the trajectory to draw the bounding box.
• The program will start tracking. Afterward, press the space bar to stop tracking.

Video – Object Tracking with Opencv and Python

Conclusion

In this article, we’ve discussed Object Tracking in detail and how it compares with Object Detection. Furthermore, we explored the methods used for tracking objects and provided complete guidance on the OpenCV Tracking method and its built-in functionalities.

Hopefully, you find this guide helpful, and you can now track objects in real-time without any issues.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

• Image Tracking
• Video Tracking
• What Are The Difficulties Of Object Tracking
• Stages Of The Object Tracking Process

1. Stages Of The Object Tracking Process
2. Methods Of Object Tracking

• The powerful backup: OpenCV

1. What Is OpenCV
2. The Pre-Built Algorithms OpenCV Offers For Object Tracking
3. Implementation In Python And OpenCV

Part 1. What Is Object Tracking?

Object Tracking determines the location of an object in a video and can be used for a variety of purposes, including surveillance, security, traffic control, digital forensics, anomaly detection, gesture recognition, visual surveillance, human-computer interaction, augmented reality, and robot vision.

Even though it may seem easy for an average person, object tracking is quite complex for computers because they have to analyze a set of frames and estimate the object’s trajectory based on numbers instead of images.

Because of how complicated it is, Object Tracking is considered one of the most difficult tasks in computer vision. Even though it’s a challenge, it’s not impossible to accomplish.

And there are two levels of Object Tracking that you should learn about:

1. SOT & MOT

1. Single Object Tracking (SOT): SOT is a tracking algorithm that creates advanced appearance models and/or motion models to manage difficult issues like out-of-plane rotations, illumination variations, or scale changes.
2. Multiple Object Tracking (MOT): MOT tracks every part of a video and is mainly concerned with mid-level tasks and serves as a foundation for high-level tasks.

2. The Difference Between Tracking And Detection

After knowing what Object Tracking is, there is another concept you should also be aware of - Object Detection.

The Object Tracking and Object Detection are two important methods in computer vision. Object Tracking tracks the position of a given object in an image in real-time, while Object Detection identifies and localizes objects in an image or video. That is the difference.

Part 2. Types Of Object Tracking

Image Tracking

Image tracking allows users to interact with digital content more naturally and helps users move and interact with digital objects in the same manner as they will with real-world physical objects.

Image tracking can be used in various augmented reality (AR) applications, such as AR gaming, shopping, and navigation. Moreover, you can also use it for educational purposes, such as teaching anatomy or providing instructions for a difficult task.

Video Tracking

Video tracking is the process of tracking objects in a video sequence and can be used for various applications, such as detecting and counting objects in a scene, understanding their motions, and recognizing activities.

Part 3. What Are The Difficulties Of Object Tracking?

As what has been mentioned above, the use of object tracking is versatile. However, there are some challenges associated with Object Tracking, such as:

Background Clutter: The background can impact extracting an object’s features. If the background is more densely populated, detecting or tracking the object of interest can be more difficult.

Occlusion: This is a phenomenon where the object being tracked is affected by the background or foreground. This causes the tracking algorithm to get confused due to multiple objects coming close together, hence, losing track of the object.

Varying spatial scales: Varying spatial scales refer to the target object being of a different size or shape, which can confuse the algorithm, leading to errors.

Training and Tracking Speed: If the object is moving too fast or is too small, it can be difficult to track. Therefore, the tracking module has to be designed to track, identify, and localize objects in a matter of seconds.

Part 4. Stages Of The Object Tracking Process

After the introduction of object tracking technically, let’s learn about its mechanism of it from two sides: periods of the working process and the way it tracks.

1. Stages Of The Object Tracking Process

Following are the stages of the Object Tracking process:

Target Initialization

Target initialization is the first step in Object Tracking and involves defining the targets or objects of interest and drawing a bounding box around them in the initial frame. After that, the tracker has to detect the position of the object in the frame while drawing the bounding box.

Appearance Modeling

Appearance modeling is important for understanding how an object will look under different circumstances. If the object being tracked changes appearance due to different lighting, angle, or speed, the tracking algorithm may lose its information and the object itself. Therefore, it has to be conducted to let the algorithm detect the changes and distortion.

Motion Estimation

Motion estimation entails the capacity of the model to anticipate an object’s future position with precision.

Target Positioning

Motion estimation is a process of approximating the most likely region where an object could be present. After the object’s location is approximated, a visual model can be used to determine the target’s location more accurately.

2. Methods Of Object Tracking

Here’re some methods of Object Tracking:

OpenCV-Based Object Tracking

OpenCV Object Tracking method is widely used because it offers several built-in functions designed specifically for this purpose, such as GOTURN, MIL, MediandFlow, and CSRT. The tracker type you select will depend on your specific application design. Each tracker has its pros and cons, so there is not a single type of tracker ideal for all applications.

MDNet

Multi-Domain Convolutional Neural Network Tracker is a convolutional neural-based visual tracker and has won the VOT2015 challenge. Moreover, it is composed of domain-specific layers, branches, and multiple shared layers.

The MDNetT tracker is a deep neural network that is trained on numerous Object Tracking datasets. The tracker is designed to work in multiple domains, including video, text, and images.

DeepSort

DeepSort algorithm can track objects in real-time and uses YOLO v3 to compute the bounding boxes around the objects in a frame.

DeepSort uses Kalman filter from Simple Online and Realtime Tracking algorithm and an identification model, ReID to interlink bounding boxes and object tracks.

ROLO

ROLO is a novel Object Tracking method that uses recurrent neural networks (RNNs) to learn object-specific Spatio-temporal representations. This method works with YOLO, an object detection algorithm, and an LTSM for determining the trajectory of an object.

Part 5. The powerful backup: OpenCV

We have demonstrated how powerful OpenCV Tracking is and how it works. However, do you wonder what OpenCV is? How it supports the tracking goals being achieved? In this part, we will focus on OpenCV and help you better understand the the underlying mechanisms.

1. What Is OpenCV?

OpenCV is a powerful library that allows you to perform image processing, deep learning, machine learning, and computer vision tasks on live video feeds. Moreover, it can be used to detect objects, track their movements, and recognize faces.

It can help process the data that have videos and images and has been used in various applications, such as object recognition and detection, autonomous cars, robots, medical image analysis, automated surveillance, and anomaly detection.

2. The Pre-Built Algorithms OpenCV Offers For Object Tracking

There are 8 pre-built algorithms that OpenCV offers for Objects Tracking. All of them have their uniquility and here we will present their pros and cons for your better understadning.

Tracker	Pros	Cons
BOOSTING Tracker	Track objects accurately.	Relatively slow. Unable to stop when an object is lost.
MIL Tracker	Strong resistance to noise. Gives accurate results.	Low speed. Unable to stop tracking once the object is lost.
KCF Tracker	High speed and accuracy. Stops tracking when the object is lost.	Inability to continue tracking objects once lost.
TLD Tracker	Resistance to overlapping and object scaling.	Unstable in object detection and tracking. Constantly loses object.
MEDIANFLOW Tracker	High accuracy and speed. Accurate in determining the object’s loss.	Loses object quickly due to high speed.
GOTURN Tracker	Shows resistance to obstructions and noise.	If the speed of an object is high, it shifts to another object.
MOSSE Tracker	Able to continue tracking after the object is lost. High speed.	Loses object easily if very high speed.
CSRT Tracker	Good resistance to overlapping. High accuracy.	Low speed. Unstable when an object is lost.

3. Implementation In Python And OpenCV

Now, after theoretical explanation of OpenCV and OpenCV Tracking, let’s learn Object Tracking OpenCV Python with coding and our simple and step-by-step instructions:

Install The Dependencies

Install the pycharm app on your PC, and launch it. Create a new project and go to Terminal. Install the opencv-contrib-python package by pasting the following command into the Terminal.

Set Up the Trackers

Now, create a Jupyter-notebook and set up the trackers with this code:

Tasks:

• cv2. version returns the OpenCV library version number.
• Save the name of the eight trackers.
• Check the list for the version you are working on and create a tracker object based on the number.

Capture The Video Input

For capturing the video input, write the following lines of code:

Tasks:

• Use the VideoCapture class to capture a video via the webcam or get a saved one from your PC.
• In VideoCapture - line 2, give the path to your video.
• Comment on the second line to use the webcam for tracking and uncomment the third one.

Creating The Bounding Box And Initializing The Tracker

Define an initial random bounding box or select the choices for the object you want to track with the following code:

Start The Tracker And Check The Output

Finally, write the below code lines to start the tracker:

Tasks

• Read each video frame.
• Start the timer and, through the tracker, determine the trajectory of the object.
• Use the trajectory to draw the bounding box.
• The program will start tracking. Afterward, press the space bar to stop tracking.

Video – Object Tracking with Opencv and Python

Conclusion

In this article, we’ve discussed Object Tracking in detail and how it compares with Object Detection. Furthermore, we explored the methods used for tracking objects and provided complete guidance on the OpenCV Tracking method and its built-in functionalities.

Hopefully, you find this guide helpful, and you can now track objects in real-time without any issues.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

How to Create The Best Video Collages ?

By the combination of multiple videos together, you can create a studio-friendly video collage. Several types of collage videos are on the web, such as overlays, grids, split-screen, sequential, and more. If you are a startup business, you need to be aware of the effectiveness of video collages. It helps in showing more information in a limited time.

By the end of this discussion, you will know how to make a video collage with music without investing extra time and effort. Besides this, we will also guide you in making captivating video collages with Filmstock.

Part 1: What Is The Purpose of Using Video Collages?

Video collages serve various purposes according to the user’s needs. It helps create multiple creative video clips or images into a single composition. Some of the objectives of video collages are mentioned below that can be very helpful to you:

Visual Storytelling

If you want to convey your story or a message to the world, you can use video collages to present your story sequentially through video clips and images. Visual storytelling can be found in various mediums, including films, television, etc. The video collage technique helps you to create a showcase of your different moments. It includes event highlights or memories with friends or families.

Online Platforms

Video collages are one of the most popular formats of content creation on social media. It is because it allows you to share multiple moments, highlights, and scenes to engage your audience from different angles. This format is very popular with students because they can create and share their multiple moments in a single video.

Complementary Content

You can create contrasting content that conveys your message or theme using video collages. You can create a perfect comparison by using different images and videos side-by-side. Moreover, using this method, you can create amazing video content and stand out if you are a video editor.

Increasing Screen Coverage

Video collages allow you to present your content in a way that can use the maximum screen. It gets great when you have limited space and time to showcase your multiple visuals. You can optimize the available space and provide a comprehensive content view. Get this done by selecting and arranging the visual content carefully.

Video Collage Editor A powerful video editor helping you make a video collage without investing extra time and effort!

Free Download Free Download Learn More

Part 2: Filmstock: A Great Resource For Getting Video Collage Template

Have you understood the purpose of using video collages for managing memories? You will require a resource for creating the best video collages. Having a template makes things extremely easy to cover in video editing. Wondershare provides the option of using Filmstock , a dedicated resource for getting video collage templates. You can find everything in Filmstock to make a video collage, from effects to videos and audio.

The entire collection provided in Filmstock is highly sophisticated and coherent. It truly makes procession easy and convenient for users who are interested in video editing. While finding the best effects for Filmora, you can also observe great resource packs for Adobe After Effects. The entire resource is categorized into different sections, making it easy for you to navigate content.

Working with Filmstock is easy and effective when combined with Filmora. You can also immerse yourself in 3D content within this resource website. When it comes to creating collage videos, you can get help from the templates available at Filmstock.

Part 3: Wondershare Filmora: Create The Finest Video Collages Through Filmstock

By consulting Filmstock, you are now aware of how to get the best video collage templates from the platform. After finding one for your work, you can go to Wondershare Filmora to create and edit the video collage. It features a unique video editing platform for its users, giving a diversity of options to work with.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

From editing the video to managing its audio, you can perform all tasks on Filmora with ease. Unlike other video editors, Wondershare Filmora does not make it difficult for you to edit videos. Its structure is designed to make operations easy for all kinds of users who are in video editing. To know more about how Filmora makes things easy in creating the finest video collages, learn more about its features below:

1. Motion Tracking

If your video collage has a specific element that needs to be tracked, you can utilize the services of motion tracking . With a single click, you can track the motion of an object and make it the center of the video.

2. Adjustment Layer

Users working on specific video content require dedicated presets for their work. They can create adjustment layers for color grading, presets, and perform other operations.

3. AI Copywriting

Those who are creating specific social media content can utilize the services of AI copywriting powered by ChatGPT. All you must do is provide a prompt, after which they can create the perfect content for their video collage.

4. Speech-To-Text

If your video collage needs to be induced with subtitles, the service of Speech-to-Text works perfectly on Filmora. Users can get the best subtitles in a single click, with an accuracy of more than 95%, making it a great tool.

Part 4: Step-by-Step Guide: Creating Video Collages Through Filmstock

Filmstock is a resource library where you can access diversified templates for several things. It also helps you access the attractive video collage template. With that template, you can make optimistically impressive video collages. You can access the collages on versatile ranges and utilize them as needed.

You must be thinking that it is not easy to make video collages with Filmstock. However, it is not true, and you can see it for yourself from the below-given instructions:

Filmora Tutorial - Create a Photo Sliding Birthday Intro | Filmora Creator Academy

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step 1Open Filmstock and Select Video Collage

Access Filmstock on your device and go to “Search Bar.” From here, search for Video Collages, continue to select one template, and click the “Download” button. Once the template is downloaded, launch Filmora and import your video clips.

Step 2Make a Video Collage

Next, drag the clips to the timeline and go to “Effects.” Locate the desired effect and drag it on the video in “Timeline.” Once done, select the “Transitions” icon and drag the transition in videos in “Timeline.” You can also customize the additional parameters from the adjustment section.

Step 3Preview and Export Video Collages

Make sure to click the “Play” icon to preview the results. When satisfied with the results, hit the “Export” button. Manage the export settings in the next window, and again select “Export.”

Bonus Part: Creating Slideshows Using Wondershare Filmora

Do you know that Wondershare Filmora can also be used to create slideshows? In this part, we will be discussing the details of how to create slideshows using Filmora. Look through the steps below to understand things that need to be investigated while creating slideshows:

Filmora Tutorial - Edit a Fast Slideshow Intro

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step 1Launch Wondershare Filmora

On opening Wondershare Filmora on your computer, continue to select the “New Project” button. This opens a new screen where you can import the content for the slideshow on Filmora. Select the “Import” option to add the media content for the slideshow. After importing the media content, drag and drop it on the timeline.

Step 2Add Effects to Slideshow

Once the media content is imported for the slideshow, continue to add effects to your video editing canvas. You can proceed to the “Effects” tab and add your appropriate choice.

Step 3Add Transitions and Titles

Following this, you can also look to add “Transitions” to your work. This can be done by accessing the options from the top of the screen. You can add “Titles” to your slideshow to create the best content.

Step 4Export Final Slideshow from Filmora

Once you are done with this, lead to the “Export” option to save the created slideshow on Filmora. Set the parameters for the video and click “Export” on the window to execute the process.

Conclusion

This article has provided viewers with an idea of how to create the best video collages with the right platforms. Filmstock, which offers resources for video collage templates, has been discussed. Along with that, Wondershare Filmora has been displayed as the best option for making video collages of the finest quality. If you wish to create perfect video collages, work on the details to get the best results.

Free Download Free Download Learn More

Part 2: Filmstock: A Great Resource For Getting Video Collage Template

Have you understood the purpose of using video collages for managing memories? You will require a resource for creating the best video collages. Having a template makes things extremely easy to cover in video editing. Wondershare provides the option of using Filmstock , a dedicated resource for getting video collage templates. You can find everything in Filmstock to make a video collage, from effects to videos and audio.

The entire collection provided in Filmstock is highly sophisticated and coherent. It truly makes procession easy and convenient for users who are interested in video editing. While finding the best effects for Filmora, you can also observe great resource packs for Adobe After Effects. The entire resource is categorized into different sections, making it easy for you to navigate content.

Working with Filmstock is easy and effective when combined with Filmora. You can also immerse yourself in 3D content within this resource website. When it comes to creating collage videos, you can get help from the templates available at Filmstock.

Part 3: Wondershare Filmora: Create The Finest Video Collages Through Filmstock

By consulting Filmstock, you are now aware of how to get the best video collage templates from the platform. After finding one for your work, you can go to Wondershare Filmora to create and edit the video collage. It features a unique video editing platform for its users, giving a diversity of options to work with.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

From editing the video to managing its audio, you can perform all tasks on Filmora with ease. Unlike other video editors, Wondershare Filmora does not make it difficult for you to edit videos. Its structure is designed to make operations easy for all kinds of users who are in video editing. To know more about how Filmora makes things easy in creating the finest video collages, learn more about its features below:

1. Motion Tracking

If your video collage has a specific element that needs to be tracked, you can utilize the services of motion tracking . With a single click, you can track the motion of an object and make it the center of the video.

2. Adjustment Layer

Users working on specific video content require dedicated presets for their work. They can create adjustment layers for color grading, presets, and perform other operations.

3. AI Copywriting

Those who are creating specific social media content can utilize the services of AI copywriting powered by ChatGPT. All you must do is provide a prompt, after which they can create the perfect content for their video collage.

4. Speech-To-Text

If your video collage needs to be induced with subtitles, the service of Speech-to-Text works perfectly on Filmora. Users can get the best subtitles in a single click, with an accuracy of more than 95%, making it a great tool.

Part 4: Step-by-Step Guide: Creating Video Collages Through Filmstock

Filmstock is a resource library where you can access diversified templates for several things. It also helps you access the attractive video collage template. With that template, you can make optimistically impressive video collages. You can access the collages on versatile ranges and utilize them as needed.

You must be thinking that it is not easy to make video collages with Filmstock. However, it is not true, and you can see it for yourself from the below-given instructions:

Filmora Tutorial - Create a Photo Sliding Birthday Intro | Filmora Creator Academy

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step 1Open Filmstock and Select Video Collage

Access Filmstock on your device and go to “Search Bar.” From here, search for Video Collages, continue to select one template, and click the “Download” button. Once the template is downloaded, launch Filmora and import your video clips.

Step 2Make a Video Collage

Next, drag the clips to the timeline and go to “Effects.” Locate the desired effect and drag it on the video in “Timeline.” Once done, select the “Transitions” icon and drag the transition in videos in “Timeline.” You can also customize the additional parameters from the adjustment section.

Step 3Preview and Export Video Collages

Make sure to click the “Play” icon to preview the results. When satisfied with the results, hit the “Export” button. Manage the export settings in the next window, and again select “Export.”

Bonus Part: Creating Slideshows Using Wondershare Filmora

Do you know that Wondershare Filmora can also be used to create slideshows? In this part, we will be discussing the details of how to create slideshows using Filmora. Look through the steps below to understand things that need to be investigated while creating slideshows:

Filmora Tutorial - Edit a Fast Slideshow Intro

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step 1Launch Wondershare Filmora

On opening Wondershare Filmora on your computer, continue to select the “New Project” button. This opens a new screen where you can import the content for the slideshow on Filmora. Select the “Import” option to add the media content for the slideshow. After importing the media content, drag and drop it on the timeline.

Step 2Add Effects to Slideshow

Once the media content is imported for the slideshow, continue to add effects to your video editing canvas. You can proceed to the “Effects” tab and add your appropriate choice.

Step 3Add Transitions and Titles

Following this, you can also look to add “Transitions” to your work. This can be done by accessing the options from the top of the screen. You can add “Titles” to your slideshow to create the best content.

Step 4Export Final Slideshow from Filmora

Once you are done with this, lead to the “Export” option to save the created slideshow on Filmora. Set the parameters for the video and click “Export” on the window to execute the process.

Conclusion

This article has provided viewers with an idea of how to create the best video collages with the right platforms. Filmstock, which offers resources for video collage templates, has been discussed. Along with that, Wondershare Filmora has been displayed as the best option for making video collages of the finest quality. If you wish to create perfect video collages, work on the details to get the best results.

How to Get Motion Blur in Valorant?

Have you ever applied a motion blur effect to your games? Many game lovers like to add a motion blur effect in racing or fighting games to generate a sense of realism. This special effect also helps in creating a sense of speed in your games professionally. Moreover, if you are playing a game at a 30 FPS rate or greater, the motion blur effect can add a cinematic effect efficiently.

In this particular article, we will discuss how to get motion blur in the Valorant game. It’s a popular game as it manages to entertain the players thoroughly. To make your gaming experience more beautiful, continue reading this well-structured guide.

Part 1: What is Valorant?

Valorant is a famous competitive game that indulges the players in playing at least 13 different rounds to win. By using tactical strategies and gunplay, the player needs to defend himself to secure his chances of winning. Apart from choosing guns and bullets, you can also select a special agent armed that would comprise special capabilities.

With the help of this agent armed, you can easily strategize the gameplay to increase the chances of winning. There are different options for agents, such as Yoru, Skye, Raze, Breach, etc. This game also involves various maps that act like playgrounds. On these playgrounds, you can flaunt your gaming skills, creativity, and intellectual thinking.

It’s a 5 v.s. 5 multiplayer game in which one team is the attacker, and the other is the defender. The main aim of the attacking team is to plant a bomb called “Spike” against the other team. At the same time, the defenders strategize against the attackers to avoid and defuse the planted bomb. Valorant is a PC-based game and has some specific requirements. For your convenience, we have jotted down the essential requirements below:

PC Hardware Requirements

• Windows: 7/8/10 64-bit
• RAM: 4GB
• VRAM: 1GB

Minimum Specs / 30 FPS

• CPU: Intel Core 2 Duo E8400 (Intel), Athon 200GE (AMD)
• GPU: Intel HD 4000, Radeon R5 200

Recommended Specs / 60 FPS

• CPU: Intel i3-4150 (Intel), Ryzen 3 1200 (AMD)
• GPU: Geforce GT 730, Radeon R7 240

High-End Specs / 144+ FPS

• CPU: Intel i5-9400F 2.90GHz (Intel), Ryzen 5 2600X (AMD)
• GPU: GTX 1050 Ti, Radeon R7 370

Part 2: How to Get Motion Blur in Valorant?

In Valorant, you cannot add motion blur directly. Thus, to create motion blur Valorant, you can modify the settings of the recorder while recording your gameplay. To use the recording settings for creating a motion blur effect, here are useful instructions:

Step1 Before recording your gameplay, open your recorder and head to its settings. From there, go to the “Output” section and change the video format to MP4. Once done, make sure to select “NIVIDIA” as your encoder. Moreover, choose “CQP” as your rate control and set 20 as the value of the CQ level.

Step2 On the same window, select your preset as “Max Performance” and profile as “High.” Now go to the “Video” tab and select the value of base resolution and output resolution as “1920x1080”. Choose the numerator as 300 and the denominator as 1. Make sure that the minimum value of the numerator should not less than 180.

Step3 Now head to the “Advanced” tab and select process priority as “Below Normal.” Now head to the “Recording” section below and select the filename formatting according to your need. You can also adjust the settings of the stream display and automatically reconnect, preferably. Once done with all the recorder settings, click on the “OK” button.

Bonus Tips – How to Add Motion Blur to Your Valorant Gaming Video

If you are unable to set the proper settings for your recording software, you can try Wondershare Filmora to add a motion blur effect. Once you have recorded your gameplay through any recording software, you can easily edit it on Wondershare Filmora. It’s a professional tool that is compatible with Windows, Mac, Android, and iOS platforms. Using this tool, you can easily edit and create your videos without facing any inconvenience.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Filmora provides different presets that you can use to create your video from scratch. You can also search for different types of effects and transitions on Filmora that can change the outlook of your video. Furthermore, you can also auto-reframe your video clips on Filmora to resize them automatically with great precision. Here are some of the key features of Filmora that can help you to perform professional video editing:

Key Features of Filmora

• Filmora contains various stock footage that you can pick and apply to your videos instantly. It offers a wide range of stock footage that you can easily use without paying any cost.
• It offers an option of a green screen through which you can easily change the backgrounds of your video by creating special effects.
• This tool offers more than 70 AI portrait effects that can dramatically remove the background from your videos.
• You can layer and edit multiple videos on this platform using the picture-in-picture feature.

Steps to Add Motion Blur Effect in Valorant Gameplay Video

Do you want to know how to turn on motion blur in Valorant using Filmora? Here are the simple steps that you can follow in this regard:

Step1 Import the Valorant Video

Once you have launched the main interface of Filmora, hit the “New Project” button. Afterward, select the “Import” icon and upload the Valorant gameplay video on this tool successfully.

Step2 Split the Valorant Video

Now drag and drop the uploaded video on the timeline of this tool. Once done, move the play head to the place where you want to add the motion blur effect. Now click on the “Scissors” icon to split the Valorant gameplay video.

Step3 Search for the Blur Effect

Once you have split the video, head to the “Effects” section and click on “Video Effects” from the left side. Now search “Blur” from the search bar and choose any of the blur effects from the results. Drag and apply the blur effect on the timeline.

Step4 Export the Edited Valorant Gameplay Video

After you have applied the blur effect, go to “Transitions” and search for the “Dissolve” transition. Once you have applied this particular transition to your video, it will generate a smooth look. Now you can easily share and save your video by hitting the “Export” button.

Conclusion

This article has shed light on how to get a motion blur in Valorant by modifying the recording settings. However, if you don’t want to change the recording settings of your recorder, you can use the tool known as Filmora. It’s a compatible and well-trusted tool through which you can easily craft a motion blur effect professionally.

Free Download For macOS 10.14 or later

Filmora provides different presets that you can use to create your video from scratch. You can also search for different types of effects and transitions on Filmora that can change the outlook of your video. Furthermore, you can also auto-reframe your video clips on Filmora to resize them automatically with great precision. Here are some of the key features of Filmora that can help you to perform professional video editing:

Key Features of Filmora

• Filmora contains various stock footage that you can pick and apply to your videos instantly. It offers a wide range of stock footage that you can easily use without paying any cost.
• It offers an option of a green screen through which you can easily change the backgrounds of your video by creating special effects.
• This tool offers more than 70 AI portrait effects that can dramatically remove the background from your videos.
• You can layer and edit multiple videos on this platform using the picture-in-picture feature.

Steps to Add Motion Blur Effect in Valorant Gameplay Video

Do you want to know how to turn on motion blur in Valorant using Filmora? Here are the simple steps that you can follow in this regard:

Step1 Import the Valorant Video

Once you have launched the main interface of Filmora, hit the “New Project” button. Afterward, select the “Import” icon and upload the Valorant gameplay video on this tool successfully.

Step2 Split the Valorant Video

Now drag and drop the uploaded video on the timeline of this tool. Once done, move the play head to the place where you want to add the motion blur effect. Now click on the “Scissors” icon to split the Valorant gameplay video.

Step3 Search for the Blur Effect

Once you have split the video, head to the “Effects” section and click on “Video Effects” from the left side. Now search “Blur” from the search bar and choose any of the blur effects from the results. Drag and apply the blur effect on the timeline.

Step4 Export the Edited Valorant Gameplay Video

After you have applied the blur effect, go to “Transitions” and search for the “Dissolve” transition. Once you have applied this particular transition to your video, it will generate a smooth look. Now you can easily share and save your video by hitting the “Export” button.

Conclusion

This article has shed light on how to get a motion blur in Valorant by modifying the recording settings. However, if you don’t want to change the recording settings of your recorder, you can use the tool known as Filmora. It’s a compatible and well-trusted tool through which you can easily craft a motion blur effect professionally.

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