aviralchharia/MV-SSM
MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation
This project helps capture and analyze human motion in 3D using multiple camera views. It takes video footage from several cameras showing a person's movement and precisely identifies their body's keypoints in three dimensions, even when parts of the body are hidden. This tool is ideal for researchers in biomechanics, sports science, or animation who need accurate 3D motion data.
Use this if you need to track human movement with high accuracy across various camera setups and complex scenes, especially when dealing with occlusions.
Not ideal if you only have a single camera view or require real-time, on-device pose estimation for simple applications.
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15
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License
Apache-2.0
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Last pushed
Nov 15, 2025
Commits (30d)
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