Find Out How to Add Subtitles in the VLC Media Player on Your Windows and Mac System with Quick and Simple Instructions

VLC is a free, open-source, and easy-to-use cross-platform multimedia player that supports numerous audio and video file formats. You can use the program on different devices, including smartphones, TVs, and PCs.

With the VLC media player, you can not only watch your favorite movie or video clip but can also add subtitles to them. This can be useful to improve your video-watching experience, especially if you are playing a foreign film or one with poor audio quality. Moreover, subtitles can also help people with hearing impairments to follow along.

Want to learn how to add subtitles in the VLC media player? Keep reading to find out!

How To Add Subtitle Files In VLC Media Player?

You can download subtitles for the language you want from a subtitle site and enjoy them while watching the movie or video clip in VLC Media Player. However, this method won’t add the SRT file permanently to your videos.

Here’s how you can add subtitles in the VLC media player on your video clip:

Step1 Visit the subtitles website of your choice and download the file for the video you are watching.

Step2 Save the SRT file along with your video in the same folder.

Step3 Right-click the video, click “Open With,” and choose VLC media player. Alternatively, launch the player, click “Media,” and select “Open file…” to import the video.

Step4 VLC Media Player will automatically detect and add the subtitles file. If not, click the “Subtitles” option in the toolbar, select “Sub Track,” and choose the relevant file within the listing.

Step5 The VLC player will now display the subtitles along with your video. However, if it is still unable to find the subtitles file, click “Subtitles” > “Add Subtitles” and manually add the file you’ve downloaded.

Note: If the subtitles are not playing correctly along the video, you can adjust the playback delay using the G and H keys on your keyboard. This will toggle between 50ms delays.

How To Add Subtitles To Video In VLC Media Player Permanently?

Since the above method only adds subtitles temporarily, you might be looking for a solution to permanently attach the SRT file to your clip to provide a better viewing experience to your viewers or add extra information for those who have difficulty understanding the audio.

Below we’ve provided step-by-step methods to add subtitles to video in the VLC media player on your Windows and Mac.

On Windows

You can permanently embed the subtitles to your video in the VLC media player on your Windows in the following way:

Step1 Launch the VLC media player on your Windows PC/laptop and click “Media.” Scroll down and click the “Stream” option.

Step2 Now, click “Add” in the pop-up menu and choose the video you want to play. To add a subtitles file, check the “Use a Subtitles File” option and click “Browse.” Now, add the relevant SRT file you’ve downloaded.

Step3 Next, click the “Stream” option and choose “Next.” To set the destination for your video, select “File” and click “Add.” A new window will open, click the “Browse” option and enter your footage/video name.

Make sure to set the format as .mp4 or any other video format. Choose the folder for your video and click “Save.” Click the “Next” option to proceed further.

Step4 Check the box next to “Active Transcoding,” click the Wrench icon, and head to the “Subtitles” tab. Check the boxes next to “Subtitles” and “Overlay Subtitles on the Video.

Finally, click the “Save” option, select “Next,” and click “Stream” in the new window. Wait for the processing to complete, and your video with subtitles will be saved to the folder you’ve selected.

On Mac

Here’s how you can permanently add subtitles to your video clip in the VLC media player on your Mac:

Step1 Launch the VLC media player on your Mac and click the “File” option from the top toolbar. Click “Advanced Open File.”

Step2 Now, click “Browse” on the next page and add the video to which you want to attach the subtitles. Checkmark the “Add Subtitles File” option and click “Choose.” Browse and add the SRT file. Click “OK” to confirm.

Step3 Checkmark the “Stream Outputs” option and click “Settings.” Next, click “Browse” in the next window to configure the output file name and folder. Afterward, click “Save” and set the Encapsulation method as “MPEG 4.”

Under the Transcoding tab, checkmark the boxes next to Video and Audio. Next, click “OK” and select “Open.” You can now turn on the subtitles by navigating to “Subtitles” > “Subtitles Track.”

How To Create Subtitles In VLC Media Player?

It is possible to create subtitles in the VLC media player if you’re unable to find an appropriate SRT file online or want to add some extra details by editing the existing one. For this method to work, you will first need to format your file in the SRT format.

Furthermore, you have to rank the text in order with a number and add timestamps in minutes, seconds, and milliseconds to determine the duration. To avoid plain text, you can also add effects to the subtitles by using HTML.

Step1 Launch a text editoron your PC, import your video to the editor, and save it in .srt format.

Step2 Open the VLC media player and play the video. Now, edit the subtitles while matching them with the timestamps.

Step3 Next, add a new line, timestamp, and subtitle for each caption.

Step4 Repeat the process to create and add all the required subtitles.

Bonus Tips: How To Add And Edit Subtitles In The Best VLC Alternative

If you find the above method difficult to understand, we recommend using Filmora . With this software program, you can not only edit your videos to make them engaging and appealing to watch but can also add and edit subtitles to them using the ten pre-build subtitles templates.

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

Free Download For macOS 10.14 or later

Filmora can help you to format the subtitles to match your video and add various font styles, such as WordArt, Basic, Titles, and more. In addition, you can create text with different parameters, including color fills, gradient fills, and 12 shadow effects. You can also make your captions alive with the animation effects.

Here’s how you can add and edit subtitles on your videos using Filmora:

Step1 Launch the Filmora software on your PC and click “Create New Project.” Drag and drop your video or select “Click here to import media” to add your video.

Step2 Add the video to the timeline and play it. Listen to the voiceover and press the “M” key to add a marker.

Now, click the “Titles” option and head to the “Subtitles” tab from the left menu. Double-click a subtitle to download and preview it.

Step3 Drag and drop the subtitle you want to use in the timeline and adjust it along the marker point.

Next, double-click the subtitle box in the timeline and type the text from the voiceover. Add color, text template, and adjust the text space.

Step4 Head to the “Advanced” tab, delete the preset text and adjust the one you’ve just typed. You can also add animation effects from the “Animation” tab and click “OK.”

Repeat the process to add and edit the subtitles on your video till the end. Once you are satisfied, click “Export” and save the file on your PC.

Conclusion

In this article, we’ve explored different methods to show you how to add subtitles in the VLC media player to make your videos more engaging and easy to understand, even for those with hearing impairment.

We’ve also provided step-by-step instructions to use Filmora as an alternative to add and edit the subtitles on your video real quickly.

Hopefully, you’ve enjoyed reading this article and can now enjoy watching a video in any language with ease.

How To Add Subtitles To Video In VLC Media Player Permanently?

Since the above method only adds subtitles temporarily, you might be looking for a solution to permanently attach the SRT file to your clip to provide a better viewing experience to your viewers or add extra information for those who have difficulty understanding the audio.

Below we’ve provided step-by-step methods to add subtitles to video in the VLC media player on your Windows and Mac.

On Windows

You can permanently embed the subtitles to your video in the VLC media player on your Windows in the following way:

Step1 Launch the VLC media player on your Windows PC/laptop and click “Media.” Scroll down and click the “Stream” option.

Step2 Now, click “Add” in the pop-up menu and choose the video you want to play. To add a subtitles file, check the “Use a Subtitles File” option and click “Browse.” Now, add the relevant SRT file you’ve downloaded.

Step3 Next, click the “Stream” option and choose “Next.” To set the destination for your video, select “File” and click “Add.” A new window will open, click the “Browse” option and enter your footage/video name.

Make sure to set the format as .mp4 or any other video format. Choose the folder for your video and click “Save.” Click the “Next” option to proceed further.

Step4 Check the box next to “Active Transcoding,” click the Wrench icon, and head to the “Subtitles” tab. Check the boxes next to “Subtitles” and “Overlay Subtitles on the Video.

Finally, click the “Save” option, select “Next,” and click “Stream” in the new window. Wait for the processing to complete, and your video with subtitles will be saved to the folder you’ve selected.

On Mac

Here’s how you can permanently add subtitles to your video clip in the VLC media player on your Mac:

Step1 Launch the VLC media player on your Mac and click the “File” option from the top toolbar. Click “Advanced Open File.”

Step2 Now, click “Browse” on the next page and add the video to which you want to attach the subtitles. Checkmark the “Add Subtitles File” option and click “Choose.” Browse and add the SRT file. Click “OK” to confirm.

Step3 Checkmark the “Stream Outputs” option and click “Settings.” Next, click “Browse” in the next window to configure the output file name and folder. Afterward, click “Save” and set the Encapsulation method as “MPEG 4.”

Under the Transcoding tab, checkmark the boxes next to Video and Audio. Next, click “OK” and select “Open.” You can now turn on the subtitles by navigating to “Subtitles” > “Subtitles Track.”

How To Create Subtitles In VLC Media Player?

It is possible to create subtitles in the VLC media player if you’re unable to find an appropriate SRT file online or want to add some extra details by editing the existing one. For this method to work, you will first need to format your file in the SRT format.

Furthermore, you have to rank the text in order with a number and add timestamps in minutes, seconds, and milliseconds to determine the duration. To avoid plain text, you can also add effects to the subtitles by using HTML.

Step1 Launch a text editoron your PC, import your video to the editor, and save it in .srt format.

Step2 Open the VLC media player and play the video. Now, edit the subtitles while matching them with the timestamps.

Step3 Next, add a new line, timestamp, and subtitle for each caption.

Step4 Repeat the process to create and add all the required subtitles.

Bonus Tips: How To Add And Edit Subtitles In The Best VLC Alternative

If you find the above method difficult to understand, we recommend using Filmora . With this software program, you can not only edit your videos to make them engaging and appealing to watch but can also add and edit subtitles to them using the ten pre-build subtitles templates.

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

Free Download For macOS 10.14 or later

Filmora can help you to format the subtitles to match your video and add various font styles, such as WordArt, Basic, Titles, and more. In addition, you can create text with different parameters, including color fills, gradient fills, and 12 shadow effects. You can also make your captions alive with the animation effects.

Here’s how you can add and edit subtitles on your videos using Filmora:

Step1 Launch the Filmora software on your PC and click “Create New Project.” Drag and drop your video or select “Click here to import media” to add your video.

Step2 Add the video to the timeline and play it. Listen to the voiceover and press the “M” key to add a marker.

Now, click the “Titles” option and head to the “Subtitles” tab from the left menu. Double-click a subtitle to download and preview it.

Step3 Drag and drop the subtitle you want to use in the timeline and adjust it along the marker point.

Next, double-click the subtitle box in the timeline and type the text from the voiceover. Add color, text template, and adjust the text space.

Step4 Head to the “Advanced” tab, delete the preset text and adjust the one you’ve just typed. You can also add animation effects from the “Animation” tab and click “OK.”

Repeat the process to add and edit the subtitles on your video till the end. Once you are satisfied, click “Export” and save the file on your PC.

Conclusion

In this article, we’ve explored different methods to show you how to add subtitles in the VLC media player to make your videos more engaging and easy to understand, even for those with hearing impairment.

We’ve also provided step-by-step instructions to use Filmora as an alternative to add and edit the subtitles on your video real quickly.

Hopefully, you’ve enjoyed reading this article and can now enjoy watching a video in any language with ease.

Consider a LUT to Be a Color Preset that a Filmmaker Can Use to Start Working on a Project Quickly. Sony Engineers Have Developed LUTs to Help Filmmakers Perform Specific Tasks. All of These Are Available for Free

If you’ve ever worked in the color grading profession, you’re aware of how time-consuming and labor-intensive it is to achieve a specific look on a scene. To master color grading, you must practice constantly, one of the reasons for the existence of specialists in this field. While everybody can color grade, not everyone can do it well. People in this business have devised remedies to make the editing workflow considerably more accessible and less time-consuming.

Achieving a specific ambiance in a scene demands ongoing effort and naturally takes longer. LUTs, or Lookup Tables, were created as a result. LUTs are ideal for storing a set of colors to use later or in another program. A LUT is the most effective technique to color or alters your image’s colors.

Benefits of using LUTs

There are numerous advantages to using lookup tables to edit your footage. We’ve already discussed that it helps to give your films a more polished and professional appearance, which is one of the primary explanations why individuals use LUTs, but there are many more.

1. A beginning towards professionalism

This is a fantastic approach for beginners to have a good idea of how to build their own trademark looks in their videos. The time it takes to develop your color grading craft is unavoidable. So, as a novice, LUTs will come in useful for you to establish your approach and save your ass, big time.

You’ll eventually come up with a blend of your own LUTs to use, resulting in your own LUT. Not only will LUTs aid in color grading learning, but they will also save funds and resources. You will not only devote time to learning color grading, but you will also spend a significant amount of money on color grading tools and equipment, such as software and color panels. You’ll see why color grading equipment is necessary when you get to this point.

However, for the time being, employing LUTs is the most cost-effective way to obtain a cinematic look.

2. It saves your time

Because LUTs are predefined colors used to establish a specific look on a picture, they save you time. Having a trustworthy LUT to use for video will save the life of freelance editors who are constantly meeting commitments and modifications. Isn’t the purpose of color grading to generate a visual emotion for your movie? So, with LUTs, you can create one without going through the time-consuming process of manual color correction. Only one-color preset will be applied to all scenes in a single LUT.

However, there’s a good probability that it won’t look the same in all of the images. This is where you’ll adjust the colors to make them more evenly match the film. It’s nothing significant most of the time, just some little saturation adjustments, etc.

3. Work on a budget

Time spent in a color-grade suite may be highly costly, and it can lead your films to go over budget in order to achieve a specific aesthetic. LUTs, on the other hand, are available for free online or for a fee for more complex versions. Even if you buy your LUTs, you could save thousands of dollars based on the size of your film. LUTs can also assist you in meeting tight deadlines, and setting targets too optimistically is something I’m sure we’ve all done at some point.

Whether it’s a client or a personal project, things can often get pushed to the last minute, so having something in your arsenal that can save you time is always a good bonus. There are, however, projects where you need to appear competent without investing a lot of time on them due to budget limits; this is where a lookup table comes in handy because you can modify the complete style of your movie in a matter of seconds by pressing a few buttons. Even complicated editing can be completed quickly, giving you more time to work on other tasks that will earn you more money.

4. It provides an artistic approach

LUTs are beneficial because they allow videos shot with cameras that shoot very dark, discolored images to have more vivid tones and contrast. This is excellent for grabbing viewers’ attention and making videos more intriguing and engaging. LUTs add an artistic element to videos and can help you develop a visual artistic identity for your videos if you use the same colors. Another advantage of LUTs is that they enhance the color quality of videos shot on smartphones with particular color schemes. Although this varies significantly from brand to brand, you can use LUTs to make a Smartphone video more vibrant and appealing.

Top 10 Sony LUT for Different Purposes

The highlights in your videos will seem smooth with this set of Free Sony LUTs, while the shadows will add intensity and depth without sacrificing any details. It’s easy to use Sony LUTs in.CUBE and.LOOK versions, and they help you get the cinematic appearance you want.

1. SLog2 & SLog3 to Enhanced Rec709 LUTs

The Sony Natural Enhanced LUT pack was created to address Sony’s color science-related difficulties with skin tones and hue levels. These LUTs correct and fix the colors in your S-Log2 and S-Log3 videos, giving them a colorful natural look.

SLog2 & SLog3 to Enhanced Rec709 LUTs

2. Filmic Tone Creative LUTs

One of our choices is the Filmic Tone LUT set. It enhances your creativity by adding a cinematic tone to your footage. These LUTs were created to convert the green color hues to a dark shade reminiscent of a Bali Instagram-type color while keeping the warmth of the mid-tones and highlights.

Filmic Tone Creative LUTs

3. Sony Nature LUTs

Nature has influenced it. Nature LUTs are designed to complement the natural environs in which we live. Bali, woods, forests, greenery, streams, and beaches are all excellent choices for this design.

Sony Nature LUTs

4. Sony A7S III, FX3 & A7 IV – S-Log 3 Correction LUTs

Three correction LUTs are explicitly created for S-Log 3 footage. They are compatible with Sony a7S III, FX4, and a7 IV footage. They use a simple and clean style that is a wonderful place to start with your film. Following the application of these correction LUTs, we suggest boosting saturation, correcting exposure, and improving contrast. Then you may personalize it. The main goal of these Sony LUTs is to give your videos a new lease on life by enhancing saturation and overall color temperature. When utilized for the environment, lifestyle, and event videos, they also make the picture sharper and more stunning.

Sony A7S III, FX3 & A7 IV – S-Log 3 Correction LUTs

5. Sony Cine-4 Film and Standard LUTs

There are 24 Sony Cine-4 Film LUTs and 24 Rec 709 LUTs in this LUTs set. They can be used in films and television shows, social videos, presentations, and more. They’re also quite simple to operate. To apply stunning color grading to your film, import the preset file or simply drag & drop the LUT over it. It works with any resolution. Make your films, social media posts, documentaries, and images look sleek and modern.

Sony Cine-4 Film and Standard LUTs

6. Sony Urban Dark LUT

The Urban Dark LUT pack aims to provide users with some dark, fascinating tones that work well with urban landscapes. These LUTs have a dark vibe that complements skin tones well.

Sony Urban Dark LUT

7. LUT Sony Vegas “Adventure”

This is one of the best Sony LUTs for adding drama and depth to the video. It also makes the image moodier and more attention-grabbing, which is ideal if your film focuses on people, architecture, or scenic landscapes because it draws attention to the topics.

LUT Sony Vegas “Adventure”

8. Sony LUT “Dessert”

This Sony LUT adds a creamy feel to the video, making it more appealing while also boosting the color palette. It’s suitable for indoor footage and works particularly well with family and love stories.

Sony LUT “Dessert”

9. Sony LUTs for the premiere

If you want to make your video clip look professional without the color grading being too obvious, Sony LUTs for Premiere is one of the best options available. It cools down the image and enhances the contrast slightly to make the topic stand out without being overpowering. This LUT is particularly well suited to business, real estate, and action-oriented videos.

Sony LUTs for the premiere

10. Sony Base LUT pack

The Sony Base LUT Pack replaces Sony’s rec709 LUT and color space. These LUTs have a wonderful warm tone to them and more accurate green colors, and these LUTs are merely a starting point or base for your grading. We recommend grading beyond the simple use of the LUT if you want the best results. Each LUT in this bundle was built with the Sony S-log2 color profile in mind. These LUTs are intended to assist you in achieving proper exposure during filming and grading while maintaining a pleasant image.

Sony Base LUT pack

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Closing Thoughts:

LUTs should be present in every videographer’s toolbox since they may save time and money and produce a consistent and professional result. In comparison to color grading suites, LUTs are also less expensive. LUTs are helpful for both beginner and seasoned filmmakers and can aid when you run out of innovative ideas.

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Closing Thoughts:

LUTs should be present in every videographer’s toolbox since they may save time and money and produce a consistent and professional result. In comparison to color grading suites, LUTs are also less expensive. LUTs are helpful for both beginner and seasoned filmmakers and can aid when you run out of innovative ideas.

Mastering OpenCV Object Tracking: A Comprehensive Guide for Beginners and Experts

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 Use 3D Camera Tracking Effects in After Effects

Adobe After Effects is an ever-growing product, with new features introduced almost every year. One of these features is the 3D Camera Tracking, which allows you to take your motion graphic effects to the next level.

Camera Tracking is extracting the camera movement from a recorded video sequence. This process allows filmmakers to add computer-generated elements to a live action shot, track objects throughout a shot for compositing, and estimate camera movements for virtual reality applications.

In this article, we will explore what Camera Tracking is and Motion Tracking in After Effect. We’ll also show you how to use 3D Camera Tracking in After Effects on a Windows PC.

Part 1. What Is Camera Tracking

Camera Tracking is a process that determines the movement of a video clip. This information can be used to add certain effects to the video, such as objects that seem to follow the camera or text that appears to be stationary in the frame.

Camera Tracking is a relatively simple process, but it can be time-consuming. However, the results are often worth the effort, as it can add a whole new level of realism to your footage clips.

For example, you have taken a video clip of a zoo and want to add an object to it while making sure it gives a realistic look. This is where the Camera Tracking feature can help you make a smooth transition and add the element as if it was there.

Part 2. Why Use Camera Tracking?

Now that you know what Camera Tracking is, let’s have a look at some benefits of using it:

• Add a 3D object or element to a 2D video clip.
• Embed objects, texts, etc., to a video.
• Stabilize a shaky camera/video clip.
• Create special effects.
• Apply color grading.
• Replace a TV or PC screen with some information.

Thus, if you need some basic compositions or advanced ones, the Camera Tracking feature will help you track your videos, embed anything you want, or create special effects to make your clip different.

Part 3. Motion Tracking In After Effects

The Motion Tracking capability is Adobe After Effects’ feature that allows you to track the movement of the camera/an object in a video clip and use the data to add effects to objects.

Motion tracking can be used for various effects, like creating realistic text animations or adding special effects to objects in a video.

There are four main types of Motion Tracking in After Effects, each with its own advantages and disadvantages:

Single Point Tracking

Single Point tracking tracks a single position in a video clip. You can use it for composing a video clip with a single point of focus, and it is suitable for following the movement of an object with right-left or up-down motion.

Advantage: Single Point Tracking is perfect for tracking a single position or motion of a single object.

Disadvantage: No scale or rotation properties and needs a clear contrast point for effective results.

Two Point Tracking

Two Point Tracking is a feature that allows you to track two points in a footage clip and can be used for scale, motion, and rotation tracking.

Advantage: Two Point Tracking can track scale and rotation along with the motion.

Disadvantage: It doesn’t give effective results with a shaky video clip.

Four Point Tracking

The Four Point Tracking feature lets you track four different points (corners) in your footage and apply the tracking data to a layer in your composition.

The four points can be placed at the screen’s corners in your shot, and new footage is applied to cover the screen.

Advantage: Directly pins the data to each corner of the image.

Disadvantage: Cannot be used to create a 3D object.

3D Camera Tracking

With 3D camera tracking, you can track the movement of a camera in a video and place 3D elements in the scene that match the camera’s movement. This is a great way to add realism to your graphics and make them look like they’re part of the scene.

Advantage: 3D Camera Tracking can help you add shapes, texts, or 3D objects to 2D footage.

Disadvantage: A bit tricky and needs an expert grip on the tool to use effectively.

Part 4. How To Use 3D Camera Tracking In After Effects Of Windows

Here’s a simple and quick rundown of how to use 3D camera tracking in After Effects:

Step1Import Your Video Footage

Launch Adobe After Effects, create a new composition, and import your footage. Once your clip is uploaded, click the Window Menu. Scroll down and choose “Tracker.”

Here you will see four tracking options:

1. Track Camera
2. Warp Stabilizer
3. Track Motion
4. Stabilize Motion

Click “Track Camera” to add the 3D Camera Tracker effect to your selected layer. After Effects will start analyzing the layer, show the percentage, and count the total frames of clips tracked.

Note: The dots that appear on your video clips cannot be rendered out, as they are strictly referential.

Step2Establish The Tracking Points

You have to select the tracking points and a plane to which it must be tracked. To do this, hover over the tracking point references in the After Effect compositions window. Between the three tracking points, a triangle will form, and a red “target” will appear to help you better visualize the plane.

Now, you have to find a tracking point that lays the red “target” parallel to your selected plane. Next, select the triangle that lines up best for your surface. Move the arrow away to disable the picker and stop the red “target.”

Step3Add The Text To Your Video Clip

Once you define the plane, it’s time to add text to your video clip. To do this, right-click on the triangle you have set previously, and a window will appear, allowing you to create new layers.

Click “Create Text” to place the text on your tracked video clip. A new text layer will be added using the tracking data.

Step4Align Text On Tracked Footage

Now you have to align your text. In the timeline, locate the tracked text layer and click the arrow to the left to unveil all the editable properties for the layer.

Click the “Transform” option to use the transform options and use the layer lines to adjust the X, Y, and Scale values afterward.

Note: You can select your layer and press the S, P, R, or T keys to adjust the scale, position, rotation, and opacity, respectively.

Your text will now be added to your video footage. The method is similar to adding solid or null to your clips. However, the exact steps might differ a little.

Video - Learn 3D Camera Tracking In After Effects

Conclusion

In this article, we’ve discussed what Camera Tracking is and why to use it. We also provided information regarding Motion Tracking, its four types, and their advantages and disadvantages.

Furthermore, we walked you through the step-by-step process of using 3D Camera Tracking in Adobe After Effects for Windows.

We hope this guide helps you to add text to your video footage without much effort, and you now have complete knowledge of the Camera Tracking feature.

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

Free Download For macOS 10.14 or later

Step2Establish The Tracking Points

You have to select the tracking points and a plane to which it must be tracked. To do this, hover over the tracking point references in the After Effect compositions window. Between the three tracking points, a triangle will form, and a red “target” will appear to help you better visualize the plane.

Now, you have to find a tracking point that lays the red “target” parallel to your selected plane. Next, select the triangle that lines up best for your surface. Move the arrow away to disable the picker and stop the red “target.”

Step3Add The Text To Your Video Clip

Once you define the plane, it’s time to add text to your video clip. To do this, right-click on the triangle you have set previously, and a window will appear, allowing you to create new layers.

Click “Create Text” to place the text on your tracked video clip. A new text layer will be added using the tracking data.

Step4Align Text On Tracked Footage

Now you have to align your text. In the timeline, locate the tracked text layer and click the arrow to the left to unveil all the editable properties for the layer.

Click the “Transform” option to use the transform options and use the layer lines to adjust the X, Y, and Scale values afterward.

Note: You can select your layer and press the S, P, R, or T keys to adjust the scale, position, rotation, and opacity, respectively.

Your text will now be added to your video footage. The method is similar to adding solid or null to your clips. However, the exact steps might differ a little.

Video - Learn 3D Camera Tracking In After Effects

Conclusion

In this article, we’ve discussed what Camera Tracking is and why to use it. We also provided information regarding Motion Tracking, its four types, and their advantages and disadvantages.

Furthermore, we walked you through the step-by-step process of using 3D Camera Tracking in Adobe After Effects for Windows.

We hope this guide helps you to add text to your video footage without much effort, and you now have complete knowledge of the Camera Tracking feature.

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

Free Download For macOS 10.14 or later

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