Best AI Websites & Tools

InterTrack

Human-object interaction tracking technology that does not require object templates.

PremiumNewProductImageHuman TrackingObject Interaction

InterTrack is an advanced tracking technology that can monitor human-object interactions in monocular RGB videos, maintaining tracking continuity even under occlusion and dynamic motion. This technology does not require any object templates and can generalize well in real-world videos through training on synthetic data. InterTrack improves the accuracy and efficiency of tracking by decomposing the 4D tracking problem into pose tracking for each frame and optimizing standardized shapes.

InterTrack

Single-view reconstruction methods for reconstructing interactions for each frame.
Utilization of efficient autoencoders to predict SMPL vertices.
Introduction of temporal consistency matching.
Exploitation of temporal information to predict smooth rotation of objects during occlusion.
Integration of the interactive video dataset ProciGen-Video
which contains 10 hours of video.
Experiments on the BEHAVE and InterCap datasets demonstrate superiority over traditional template tracking methods.

\InterTrack technology is designed for applications that require precise tracking of human-object interactions
such as behavior analysis
virtual reality
and augmented reality. It is particularly suited for fields that necessitate real-time interaction tracking in complex environments
such as video capture on mobile devices.\

Tracking user interactions with virtual objects on mobile devices.
Analyzing user behavior in virtual reality environments.
Enabling natural interactions between objects and users in augmented reality.

1. Visit the InterTrack website to learn about the technology background and main features.
2. Download and install the required synthetic dataset ProciGen-Video.
3. Use the InterTrack model to track human-object interactions in monocular RGB videos.
4. Analyze the dynamics of human-object interactions based on the tracking results.
5. Apply the tracking results to scenarios in behavior analysis

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