Multi Object Tracking: The Ultimate Guide

Multi Object Tracking (MOT) in a video is a challenging process with many applications in both the public and private sectors. Surveillance cameras in public places can track potential criminals, while retail stores can use object tracking to monitor customer behavior.

Developed in 1988 by Zenon Pylyshyn, MOT is a technique first designed to study the human visual system’s ability to track multiple moving objects. However, since then, various methods have been introduced for Object Tracking through computer vision.

In this article, we will explore Multi Object Tracking and provide a detailed guide on object tracking and the requirement to track multiple objects.

1. SOT
2. MOT

• What Multi Object Tracking Needs

1. Detection
2. Prediction
3. Data Association

• Approaches Of Object Tracking

1. OpenCV-Based Object Tracking
2. MDNet
3. DeepSort
4. ROLO

Part 1. What Is Object Tracking

Object Tracking is an application of computer vision that involves tracking the movement of objects in real-time. It is a useful tool for many different purposes, such as video surveillance, human-computer interaction, and automotive safety.

The Object Tracking algorithm is a deep-learning-based program that works by developing a model for each individual object and creating a set of trajectories to represent their movement. This is done through an indication, such as a square that follows the object and tells the users about its location on the screen in real-time.

Its algorithms are designed to work with various types of inputs, including everything from images and videos to real-time footage. The input you expect to use will impact the category, use cases, and object tracking applications.

Part 2. Types Of Object Tracking

There are two main types or levels of Object Tracking: SOT and MOT

SOT

Single Object Tracking or Visual Object Tracking is a process in which the bounding box of the target object is assigned to the tracker in the first frame. The tracker then detects the same object in all the other frames.

SOT only detects and tracks a single object and comes under the category of detection-free tracking, which implies that it is manually initialized with a fixed number of objects, even though other objects are present in the frames.

Let’s understand it with an example: A police department is resolving a murder case that involves a car on the highway. They received surveillance camera footage and wanted to track the vehicle to resolve the mystery. However, it might take time to do it manually. Therefore, they will use the Single Object Tracking process and will assign the tracker a bounding box for the target car to check what happens to it.

MOT

Multiple Object Tracking involves tracking multiple objects in a frame. Since its development in 1988 by Zenon Pylyshyn, several experiments have been conducted to see how human and computer vision systems can detect and track multiple objects in a frame.

As an output, multiple tracking creates several bounding boxes and are identified using certain parameters such as coordinates, width, height, etc. MOT program is not pre-trained regarding the appearance or amount of objects to be tracked.

Moreover, the algorithm assigns a detection ID to each box which helps the model in identifying the objects within a class. For instance, if multiple cars are in a frame, the MOT algorithm will identify each car as a separate object and assign them a unique ID.

Part 3. What Multi Object Tracking Needs?

Above is the explaination of MOT. In this part, we will focus on its mechanism. Following are some of the most important requirements of Multi Object Tracking:

1. Detection

The best approach to detect objects of your interest depends on what you’re trying to track and if the camera is stationary or moving.

MOT Using Stationary Camera

The vision.ForegroundDetector System object can be used to detect objects in motion against a stationary background by performing background subtraction. This approach is efficient but requires that the camera be stationary.

MOT Using Moving Camera

A sliding-window detection approach is often used with a moving camera to detect objects in motion. However, this approach is slower than the background subtraction method.

Use the following approaches for tracing the given categories of objects.

Type of the Tracking Object	Camera Position	Approach
Custom object category	Stationary/Moving	custom sliding window detector using selectStrongestBbox and extractHOGFeatures or trainCascadeObjectDetector function
Pedestrians	Stationary/Moving	vision.PeopleDetector System object
Moving object	Stationary	vision.ForegroundDetector System object™
Faces, upper body, mouth, nose, eyes, etc.	Stationary/Moving	vision.CascadeObjectDetector System object

2. Prediction

The second requirement for Multi Object Tracking is “Prediction.” In this, you have to predict the position of the tracking object in the next frame. To do this, you can design the model to use the Kalman filter (vision.KalmanFilter ).

This will help predict the next location of the object in the frames. For this, it will take into account the object’s constant velocity, constant acceleration measurement noise, and process noise. Measurement noise is the detection of an error, while process noise is the variation in the object’s actual motion from that of the motion model.

3. Data Association

Data association is a critical step in Multiple Object Tracking and involves linking the data points together that represent the same thing across different frames.

A “track” is the temporal history of an object consisting of multiple detections and can include the entire history of past locations of the object or simply the object’s last known location and current velocity.

Part 4. Approaches Of Object Tracking

After understanding what MOT needs, let’s learn about the theory of how Object Tracking works.

The following are the most popular approaches for Object Tracking:

1. OpenCV-Based Object Tracking

There are many ways to approach object tracking, but one of the most popular is through the use of built-in algorithms in the OpenCV library.

The library has a tracking API containing Object Tracking algorithms and eight trackers: BOOSTING, MEDIANFLOW, MIL, KCF, CSRT, TLD, GOTURN, and MOSSE. Each tracker has its own advantages and disadvantages and has different goals. For instance, the MOSSE tracker is best for the fastest object tracking.

To have a deeper review of OpenCV Object Tracking and what is OpenCV, please read our article about: OpenCV Tracking: A complete Guide in 2022. （同期交付，可以插这个文章主题的内链）

2. MDNet

MDNet is a breakthrough in the field of tracking because it is the first network to use classification-based models instead of the more traditional approach. This makes MDNet much faster and more accurate than other tracking methods.

Inspired by the R-CNN object detection network, the MDNet algorithm can detect objects in real-time more efficiently and with high speed, making it a state-of-the-art visual tracker.

3. DeepSort

DeepSort is the most popular Object Tracking algorithm choice. The integration of appearance information or deep appearance distance metrics vastly improves DeepSORT performance.

The addition of the “Deep Appearance” distance metric enables DeepSort to avoid identifying switches by 45% and handle complex scenarios. On the MOT17 dataset, DeepSORT has received 77.2 IDF1 and 75.4 MOTA with 239 ID switches but a lower FPS of 13.

4. ROLO

ROLO - a combination of YOLO and LSTM is a Spatio-temporal convolutional neural network that uses the YOLO module and LTSM network for collecting visual features, location inference priors, and locating the target object’s trajectory.

The LSTM network uses an input feature vector of length 4096 for each frame to predict the target object’s location. This vector is obtained by combining the high-level visual features with the YOLO detection. By working together, the LSTM and YOLO can predict the target object’s location more accurately.

ALT TEXT: rolo for object tracking

Conclusion

In this ultimate guide, we’ve discussed Multi Object Tracking and its r­­equirements. We also explored different approaches for object tracking to help you determine which one is best for your needs.

Hopefully, you found this guide helpful, and your queries related to Object Tracking and its types have been resolved.

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

Free Download For macOS 10.14 or later

• Detection
• Prediction
• Data Association
• Approaches Of Object Tracking

1. OpenCV-Based Object Tracking
2. MDNet
3. DeepSort
4. ROLO

Part 1. What Is Object Tracking

Object Tracking is an application of computer vision that involves tracking the movement of objects in real-time. It is a useful tool for many different purposes, such as video surveillance, human-computer interaction, and automotive safety.

The Object Tracking algorithm is a deep-learning-based program that works by developing a model for each individual object and creating a set of trajectories to represent their movement. This is done through an indication, such as a square that follows the object and tells the users about its location on the screen in real-time.

Its algorithms are designed to work with various types of inputs, including everything from images and videos to real-time footage. The input you expect to use will impact the category, use cases, and object tracking applications.

Part 2. Types Of Object Tracking

There are two main types or levels of Object Tracking: SOT and MOT

SOT

Single Object Tracking or Visual Object Tracking is a process in which the bounding box of the target object is assigned to the tracker in the first frame. The tracker then detects the same object in all the other frames.

SOT only detects and tracks a single object and comes under the category of detection-free tracking, which implies that it is manually initialized with a fixed number of objects, even though other objects are present in the frames.

Let’s understand it with an example: A police department is resolving a murder case that involves a car on the highway. They received surveillance camera footage and wanted to track the vehicle to resolve the mystery. However, it might take time to do it manually. Therefore, they will use the Single Object Tracking process and will assign the tracker a bounding box for the target car to check what happens to it.

MOT

Multiple Object Tracking involves tracking multiple objects in a frame. Since its development in 1988 by Zenon Pylyshyn, several experiments have been conducted to see how human and computer vision systems can detect and track multiple objects in a frame.

As an output, multiple tracking creates several bounding boxes and are identified using certain parameters such as coordinates, width, height, etc. MOT program is not pre-trained regarding the appearance or amount of objects to be tracked.

Moreover, the algorithm assigns a detection ID to each box which helps the model in identifying the objects within a class. For instance, if multiple cars are in a frame, the MOT algorithm will identify each car as a separate object and assign them a unique ID.

Part 3. What Multi Object Tracking Needs?

Above is the explaination of MOT. In this part, we will focus on its mechanism. Following are some of the most important requirements of Multi Object Tracking:

1. Detection

The best approach to detect objects of your interest depends on what you’re trying to track and if the camera is stationary or moving.

MOT Using Stationary Camera

The vision.ForegroundDetector System object can be used to detect objects in motion against a stationary background by performing background subtraction. This approach is efficient but requires that the camera be stationary.

MOT Using Moving Camera

A sliding-window detection approach is often used with a moving camera to detect objects in motion. However, this approach is slower than the background subtraction method.

Use the following approaches for tracing the given categories of objects.

Type of the Tracking Object	Camera Position	Approach
Custom object category	Stationary/Moving	custom sliding window detector using selectStrongestBbox and extractHOGFeatures or trainCascadeObjectDetector function
Pedestrians	Stationary/Moving	vision.PeopleDetector System object
Moving object	Stationary	vision.ForegroundDetector System object™
Faces, upper body, mouth, nose, eyes, etc.	Stationary/Moving	vision.CascadeObjectDetector System object

2. Prediction

The second requirement for Multi Object Tracking is “Prediction.” In this, you have to predict the position of the tracking object in the next frame. To do this, you can design the model to use the Kalman filter (vision.KalmanFilter ).

This will help predict the next location of the object in the frames. For this, it will take into account the object’s constant velocity, constant acceleration measurement noise, and process noise. Measurement noise is the detection of an error, while process noise is the variation in the object’s actual motion from that of the motion model.

3. Data Association

Data association is a critical step in Multiple Object Tracking and involves linking the data points together that represent the same thing across different frames.

A “track” is the temporal history of an object consisting of multiple detections and can include the entire history of past locations of the object or simply the object’s last known location and current velocity.

Part 4. Approaches Of Object Tracking

After understanding what MOT needs, let’s learn about the theory of how Object Tracking works.

The following are the most popular approaches for Object Tracking:

1. OpenCV-Based Object Tracking

There are many ways to approach object tracking, but one of the most popular is through the use of built-in algorithms in the OpenCV library.

The library has a tracking API containing Object Tracking algorithms and eight trackers: BOOSTING, MEDIANFLOW, MIL, KCF, CSRT, TLD, GOTURN, and MOSSE. Each tracker has its own advantages and disadvantages and has different goals. For instance, the MOSSE tracker is best for the fastest object tracking.

To have a deeper review of OpenCV Object Tracking and what is OpenCV, please read our article about: OpenCV Tracking: A complete Guide in 2022. （同期交付，可以插这个文章主题的内链）

2. MDNet

MDNet is a breakthrough in the field of tracking because it is the first network to use classification-based models instead of the more traditional approach. This makes MDNet much faster and more accurate than other tracking methods.

Inspired by the R-CNN object detection network, the MDNet algorithm can detect objects in real-time more efficiently and with high speed, making it a state-of-the-art visual tracker.

3. DeepSort

DeepSort is the most popular Object Tracking algorithm choice. The integration of appearance information or deep appearance distance metrics vastly improves DeepSORT performance.

The addition of the “Deep Appearance” distance metric enables DeepSort to avoid identifying switches by 45% and handle complex scenarios. On the MOT17 dataset, DeepSORT has received 77.2 IDF1 and 75.4 MOTA with 239 ID switches but a lower FPS of 13.

4. ROLO

ROLO - a combination of YOLO and LSTM is a Spatio-temporal convolutional neural network that uses the YOLO module and LTSM network for collecting visual features, location inference priors, and locating the target object’s trajectory.

The LSTM network uses an input feature vector of length 4096 for each frame to predict the target object’s location. This vector is obtained by combining the high-level visual features with the YOLO detection. By working together, the LSTM and YOLO can predict the target object’s location more accurately.

ALT TEXT: rolo for object tracking

Conclusion

In this ultimate guide, we’ve discussed Multi Object Tracking and its r­­equirements. We also explored different approaches for object tracking to help you determine which one is best for your needs.

Hopefully, you found this guide helpful, and your queries related to Object Tracking and its types have been resolved.

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

Free Download For macOS 10.14 or later

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.

Click here

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.

How to Record Video Streams With FFmpeg on Windows and Mac?

FFmpeg is an open-source video processing tool with many powerful features. Many of these features are exposed through FFmpeg’s command line interface but can also be accessed from the program’s Python bindings and its Qt GUI frontend, called QFFMpeg.

This article will explain using FFmpeg command line tools to record video streams on Windows and Mac computers with step-by-step examples and screenshots.

Part 1. What is FFmpeg?

FFmpeg stands for “FF Multi-Platform Executable” and was originally developed by Fabrice Bellard in the year 2000 as an extension of the MPlayer project. The sole purpose of the software command-line design is to provide a complete solution for users to record live streams (audio and/or video) from any type of device that supports either the RTSP or HTTP streaming protocols.

FFmpeg is a complete, cross-platform solution to record, convert, mix, and edit audio and video files. The software has over 250 input formats, which allows users to record video streams in any media format. The FFmpeg commands stream the video back after recording, convert it into MP4 or MKV file, and process incoming data on the fly, such as rtmpdump.

Part 2. How to Record a Video Stream With FFmpeg on Windows?

The free FFmpeg command line tool is a great way to record a live internet stream and listen back to it later. If you have a Windows PC and want to record a video stream or screen using FFmpeg, our following step-by-step method will help you go through this process without facing many difficulties.

Step1 First, launch a browser of your choice on your Windows PC and head to the FFmpeg website. Hover over the Windows icon in the middle pane and select either the gyan.dev or BTbn build.

On the next screen, select the latest Windows 64-bit file from the list. Why? You need to use a computer compatible with the Windows 64-bit version. Next, download the ZIP file on your PC and use ZIP file extraction software to open the file contents.

Step2 Locate the ffmpeg.exe file on the extracted file and copy it to a new folder on your computer hard drive (e.g., C:\VideoRecorder).

Step3 In the next step, click the Start icon on your Windows dashboard and type cmd in the search box. Right-click on Command Prompt, select “Run as Administrator,” and launch the program.

Now, write the command to select the FFmpeg directory. For example, cd C:\VideoRecorder, and hit the “Enter” key.

Step4 To start recording the video stream, simply call FFmpeg and use the following command line. In this case, we are taking the example of capturing a YouTube video of “Running up that hill” from the top-rated TV show Stranger Things.

ffmpeg.exe -y -i https://www.youtube.com/watch?v=bV0RAcuG2Ao runningup.mp4

Hit the “Enter” key, and the output of this command will be displayed on the Command Prompt interface.

The command options have the following meanings:

-y allows automatic rewriting of existing files.

-i https://www.youtube.com/watch?v=bV0RAcuG2Ao is the stream URL that FFmpeg will record. You can change it with any video stream URL.

runningup.mp4 is the name of the output file.

Tips: Automatically Recording Video Streams on Windows PC

If you want your computer to record a specific video stream time automatically, use the Windows Task Scheduler to create a Timer to stop the recording after a particular time is passed.

Part 3. How to Record a Video Stream With FFmpeg on Mac?

You can use the Mac Terminal to record video streams via FFmpeg in the following way.

Step1 First, launch a browser on your Mac computer and head to the FFmpeg website. Hover over the Apple icon in the middle pane and select the macOS 64-bit static build option.

Download the ZIP file on your Mac and use ZIP file extraction software to open the file contents.

Step2 Launch the terminal on your Mac from the Apple menu, type the “ffmpeg -f avfoundation -list_devices true -i” command to let the system know which device to record from, and hit the Enter key.

Step3 Next, designate the path where you want to save your video, e.g., cd Path/to/my/videostream and press Enter.

Step4 Type in the “ffmpeg -f avfoundation -i “1:1”-c:v libx264 -qp 0-preset ultrafast out.mp4” command and hit Enter to start recording the video stream.

Stop recording the video stream by pressing “q.”

Part 4. How to Record Video Stream More Easily?

Sometimes, using FFmpeg to record a video stream on your Windows or Mac computer is too complicated. So, we recommend using Filmora Screen Recorder to make things a little easier for you.

A few benefits of using the Filmora Screen Recording software are as follows:

• Capture the computer screen and webcam at the same time.
• Select whether to record an entire screen or a part of it.
• Record your Windows or Mac computer audio and microphone voice at the same time.

Step1 Launch a browser on your Windows or Mac computer, install the Filmora Screen Recorder software, launch it, and select a New Project from the dashboard. Next, click the File option and select Record PC.

Step2 On the new Scrn pop-up window, customize the recording size by entering your desired dimensions. Also, choose if you want to record audio and which device to record it from.

Step3 Click Record to start recording the video stream. Once you are done capturing the video stream on the computer screen, click the F9 button to stop the recording.

Conclusion

In this guide, we have discussed FFmpeg and explored how you can use it to record video streams on your Windows and Mac computer.

We have also discussed Filmora Screen Recorder as an easy alternative to FFmpeg. You can get started immediately with recordings or dive deeper into advanced options as you gain more experience with this software. To help you out, we’ve also shared easy step-by-step instructions to use Filmora Screen Recorder on your computer.

Hopefully, you can now record your video streams and save them in high quality to view or share later.

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

Free Download For macOS 10.14 or later

Free Download For macOS 10.14 or later

5 Excellent Tools To Convert Video to 60 FPS

Is the video you have too fast-paced? Does it show an action sequence or an intense basketball game? All the movement could make the video blurry. Changing the video to 60 FPS makes it better and crisper. So how can you do that? You can convert video to 60 FPS using these 5 excellent tools.

Why Convert Video to 60 FPS?

Perhaps you forgot to film your video in 60 FPS or 120 FPS. You can leave it at 30 FPS if you want to. But some videos look choppy when in that setting. By doubling the frames in the video, you make it a lot smoother. The motion will look so much more fluid. Consequently, that will let your viewers have a fantastic, immersive watching experience.

Do you plan to put the video in slow motion? That’s another great reason to convert the video to 60 FPS. Again, this makes the motion more fluid. So when you add the slow-motion effect, it just gets better. Not doing so will lead to terrible video quality, which your viewers would surely not like.

3 Methods To Convert Video to 60 FPS on Windows/Mac?

After reading those reasons, you may have thought of videos that you have that you can improve by converting to 60 FPS. So how can you do that? You can use these 3 effective methods. These are 3 different PC tools that allow for converting videos to 60 FPS.

1. Convert Video to 60 FPS With Wondershare Filmora

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

Free Download For macOS 10.14 or later

Wondershare Filmora is one of the most amazing tools for converting videos to 60 FPS. This allows you to do that without complicated steps. It seems like the video just passed through the program with how fast and easy it is!

On top of that, Wondershare Filmora is a great video editor. It is complete with all the basic editing tools, plus some really great advanced features. So you can edit and enhance the video before or after converting it to 60 FPS. Because of that, Wondershare Filmora is a cost-effective tool.

Here are the steps to follow for turning a video to 60 FPS with Wondershare Filmora:

Step1 Open Wondershare Filmora. Click “New Project.”

Step2 Import the video that you want to convert to 60 FPS.

Step3 Drag the video to the timeline. Click “Export.”

Step4 Change the frame rate to 60 FPS. If you can’t find this, check if you are on the “Local” tab.

Step5 Click “Export.”

2. Use SmoothVideo

SmoothVideo Project (SVP) uses frame interpolation techniques - the same used by high-end TVs and projectors. This technique increases the frames by adding intermediate frames between existing ones. As a result, it produces smooth, fluid, and clear motion.

SmoothVideo Projects allow you to convert videos to 60 FPS and even to 120 or 144+ FPS. Also, it can convert the videos in real-time, on top of your video player.

Follow this guide to convert videos using this tool:

Step1 Install SVP and ensure to add SVPcode. If you already have the program installed, you can add SVPcode with the Maintain SVP 4 app.

Step2 Select “Browse for a video to transcode..”

Step3 Import the video/s that you want to convert to 60 FPS.

Step4 Pick 60 FPS when selecting a video profile for the video.

Step5 Choose between “Basic” and “Advanced” for the video compression setting.

Step6 Click “Start.”

3. Make Videos 60 FPS With Freemake Video Converter

Freemake is an all-in-one video converter tool. It supports over 500 video file formats and lets you turn photos and audio into video and process multiple videos at once. The best thing is that you don’t even need to download the video. Freemake Video Converter can convert online videos too.

While converting the files, you have the option to change their framerate. Therefore, it’s an excellent tool for turning videos to 60 FPS.

Follow these steps to change a video’s frame rate using this app:

Step1 Launch Freemake Video Converter. Click “+Video” to import the video that you want to convert.

Step2 Double-click the output format to open the window with the settings option.

Step3 Click the gear or “Settings” button.

Step4 On the new window, click the drop-down menu for “Frame Rate.” Select “60 fps.”

Step5 Click “Ok.”

Step6 Select the destination folder for the output file. Click “Convert.”

Click here

2 Fantastic 60 FPS Video Converter Online

What if you are not using a PC to edit your videos? For example, you shoot, edit, and upload your videos using your mobile phone. Or what if you use a PC, but you’re away from home? In these cases, you can use online tools. Here are the 2 best ones on the market.

1. VEED.IO

Veed.io is a simple but ever-so-reliable online video tool. It lets you edit videos and change the frame rate for free. Also, it comes with an array of other tools that can help enhance the video. For instance, Veed.io can remove background noise from the video.

Veed.io also lets you change the video’s aspect ratio to optimize it for different video streaming platforms.

Here’s a guide on how to convert to 60 FPS using Veed.io:

Step1 Run your preferred web browser and go to the website of Veed.io.

Step2 Click “Get Started.”

Step3 Click “Upload a File” or drag the video file to the interface to upload it. Select the video that you want to convert to 60 FPS.

Step4 Click “Export” > “Advanced.”

Step5 Drag the slider for “Framerate Limit” to the right until the display text says “60.”

Step6 Click “Export Video.”

Step7 Please wait for Veed.io to finish processing your video. When the screen says, “Your video is ready.” Click the “Download” button.

Note: Sign in to your account to enable downloading.

2. 30 FPS to 60 FPS Online-Convert Tool

Online-Convert is a popular online file format converter. It supports north of 50 video source formats and allows you to convert files between them. Also, Online-Convert allows you to change the video’s frame rate. You can make it 60 FPS or even 120 FPS!

But please remember that, as the tool name suggests, Online-Convert is only a file converter. You can’t edit your videos using this online service. Thus, you need to either have a reliable video editor on your device or use another online tool with an editor function.

Anyway, here is a tutorial on how to convert videos to 60 FPS with this online tool:

Step1 Launch a web browser and go to the Online-Convert tool page.

Step2 Drag the video file to the green rectangle. Alternatively, click “Choose File”/ Enter URL” / “Dropbox” / “Google Drive” to import your file.

Step3 Scroll down to the “Change frame rate” option. Type “60” in the text box.

Step4 Click “Start.”

Step5 Wait for the conversion to finish. The download will start automatically.

Conclusion

Convert your videos to 60 FPS to make them smoother and give your audience a nicer viewing experience. You can use many tools to do that. We recommend trying Wondershare Filmora. Converting a video’s frame rate using this software is as easy as 1-2-3.

This video solution not only gives you the ability to change a video’s frame rate. Wondershare Filmora also provides you with many amazing video editing tools. Therefore, Filmora can help you turn your videos into art. It is worth it.

Free Download For macOS 10.14 or later

Wondershare Filmora is one of the most amazing tools for converting videos to 60 FPS. This allows you to do that without complicated steps. It seems like the video just passed through the program with how fast and easy it is!

On top of that, Wondershare Filmora is a great video editor. It is complete with all the basic editing tools, plus some really great advanced features. So you can edit and enhance the video before or after converting it to 60 FPS. Because of that, Wondershare Filmora is a cost-effective tool.

Here are the steps to follow for turning a video to 60 FPS with Wondershare Filmora:

Step1 Open Wondershare Filmora. Click “New Project.”

Step2 Import the video that you want to convert to 60 FPS.

Step3 Drag the video to the timeline. Click “Export.”

Step4 Change the frame rate to 60 FPS. If you can’t find this, check if you are on the “Local” tab.

Step5 Click “Export.”

2. Use SmoothVideo

SmoothVideo Project (SVP) uses frame interpolation techniques - the same used by high-end TVs and projectors. This technique increases the frames by adding intermediate frames between existing ones. As a result, it produces smooth, fluid, and clear motion.

SmoothVideo Projects allow you to convert videos to 60 FPS and even to 120 or 144+ FPS. Also, it can convert the videos in real-time, on top of your video player.

Follow this guide to convert videos using this tool:

Step1 Install SVP and ensure to add SVPcode. If you already have the program installed, you can add SVPcode with the Maintain SVP 4 app.

Step2 Select “Browse for a video to transcode..”

Step3 Import the video/s that you want to convert to 60 FPS.

Step4 Pick 60 FPS when selecting a video profile for the video.

Step5 Choose between “Basic” and “Advanced” for the video compression setting.

Step6 Click “Start.”

3. Make Videos 60 FPS With Freemake Video Converter

Freemake is an all-in-one video converter tool. It supports over 500 video file formats and lets you turn photos and audio into video and process multiple videos at once. The best thing is that you don’t even need to download the video. Freemake Video Converter can convert online videos too.

While converting the files, you have the option to change their framerate. Therefore, it’s an excellent tool for turning videos to 60 FPS.

Follow these steps to change a video’s frame rate using this app:

Step1 Launch Freemake Video Converter. Click “+Video” to import the video that you want to convert.

Step2 Double-click the output format to open the window with the settings option.

Step3 Click the gear or “Settings” button.

Step4 On the new window, click the drop-down menu for “Frame Rate.” Select “60 fps.”

Step5 Click “Ok.”

Step6 Select the destination folder for the output file. Click “Convert.”

2 Fantastic 60 FPS Video Converter Online

What if you are not using a PC to edit your videos? For example, you shoot, edit, and upload your videos using your mobile phone. Or what if you use a PC, but you’re away from home? In these cases, you can use online tools. Here are the 2 best ones on the market.

1. VEED.IO

Veed.io is a simple but ever-so-reliable online video tool. It lets you edit videos and change the frame rate for free. Also, it comes with an array of other tools that can help enhance the video. For instance, Veed.io can remove background noise from the video.

Veed.io also lets you change the video’s aspect ratio to optimize it for different video streaming platforms.

Here’s a guide on how to convert to 60 FPS using Veed.io:

Step1 Run your preferred web browser and go to the website of Veed.io.

Step2 Click “Get Started.”

Step3 Click “Upload a File” or drag the video file to the interface to upload it. Select the video that you want to convert to 60 FPS.

Step4 Click “Export” > “Advanced.”

Step5 Drag the slider for “Framerate Limit” to the right until the display text says “60.”

Step6 Click “Export Video.”

Step7 Please wait for Veed.io to finish processing your video. When the screen says, “Your video is ready.” Click the “Download” button.

Note: Sign in to your account to enable downloading.

2. 30 FPS to 60 FPS Online-Convert Tool

Online-Convert is a popular online file format converter. It supports north of 50 video source formats and allows you to convert files between them. Also, Online-Convert allows you to change the video’s frame rate. You can make it 60 FPS or even 120 FPS!

But please remember that, as the tool name suggests, Online-Convert is only a file converter. You can’t edit your videos using this online service. Thus, you need to either have a reliable video editor on your device or use another online tool with an editor function.

Anyway, here is a tutorial on how to convert videos to 60 FPS with this online tool:

Step1 Launch a web browser and go to the Online-Convert tool page.

Step2 Drag the video file to the green rectangle. Alternatively, click “Choose File”/ Enter URL” / “Dropbox” / “Google Drive” to import your file.

Step3 Scroll down to the “Change frame rate” option. Type “60” in the text box.

Step4 Click “Start.”

Step5 Wait for the conversion to finish. The download will start automatically.

Conclusion

Convert your videos to 60 FPS to make them smoother and give your audience a nicer viewing experience. You can use many tools to do that. We recommend trying Wondershare Filmora. Converting a video’s frame rate using this software is as easy as 1-2-3.

This video solution not only gives you the ability to change a video’s frame rate. Wondershare Filmora also provides you with many amazing video editing tools. Therefore, Filmora can help you turn your videos into art. It is worth it.

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