📂 Avatars 👁 2.6k views 🕐 June 3, 2026

CoTracker3

CoTracker3 is a point tracking tool designed for individuals and teams working.

CoTracker3 is a point tracking tool designed for individuals and teams working with video analysis, particularly those dealing with object-centric tracking on a regular grid. It is suitable for applications where tracking through occlusions is necessary.
CoTracker3 works by utilizing pseudo-labelling of real videos, allowing it to understand and track points more effectively, even when they are occluded or leave the field of view. This approach enables the model to learn from real data, reducing the statistical gap between synthetic and real videos.
The tool is particularly valuable for researchers, developers, and analysts in the field of computer vision, who require accurate point tracking for various applications such as dynamic reconstruction, structure-from-motion, and object tracking. CoTracker3's ability to handle occlusions and maintain grid patterns makes it a useful asset for projects involving complex video analysis.

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Features
Object-centric tracking
CoTracker3 tracks points on a regular grid, allowing for efficient analysis of object movements and interactions.
Pseudo-labelling
The tool uses pseudo-labelling of real videos to improve point tracking, reducing the need for manual annotation and enhancing accuracy.
Occlusion handling
CoTracker3 can track points even when they are occluded or leave the field of view, providing more comprehensive insights into object movements.
Grid pattern maintenance
The tool maintains grid patterns in future frames, ensuring that tracks without significant transformations align with the initial grid.
Verdict
Best forTeams doing Avatars work who need consistent output without a steep learning curve.
Skip ifYou only need this once or twice; the subscription cost won't pay off for occasional use.
Improved tracking through occlusions: CoTracker3's ability to handle occlusions makes it a valuable tool for applications where objects may be temporarily obscured.
Enhanced accuracy: The use of pseudo-labelling and real video data enables CoTracker3 to provide more accurate point tracking compared to trackers trained on synthetic data.
Simplified architecture: CoTracker3's architecture is simpler than its predecessor, CoTracker, making it easier to implement and maintain.
Limited performance on featureless surfaces: CoTracker3 may struggle to track points on featureless surfaces such as the sky or water, which can limit its applicability in certain scenarios.
Potential loss of tracked points: While CoTracker3 can track points through occlusions, it may still lose tracked points in certain situations, such as when objects leave the field of view for an extended period.
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Frequently Asked Questions
CoTracker3 is a point tracking tool that uses pseudo-labelling of real videos to improve tracking through occlusions and maintain grid patterns. It is designed for applications involving object-centric tracking on a regular grid.
CoTracker3 outperforms other trackers such as LocoTrack and BootsTAPIR, particularly in handling occlusions and maintaining background and object points. Its simplified architecture also makes it easier to implement and maintain.
CoTracker3 may struggle to track points on featureless surfaces and can potentially lose tracked points in certain situations. However, it provides improved tracking through occlusions and enhanced accuracy compared to trackers trained on synthetic data.
CoTracker3 can be used for dynamic reconstruction, structure-from-motion, and object tracking in various scenarios, such as surveillance, sports analytics, or robotics. Its ability to handle occlusions and maintain grid patterns makes it a valuable tool for applications involving complex object movements.
CoTracker3 is worth considering for applications that require accurate point tracking, particularly in scenarios involving occlusions and complex object movements. Its improved tracking capabilities and simplified architecture make it a valuable tool for researchers and developers working on computer vision projects.
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CoTracker3
CoTracker3
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