realgump/MvMHAT
MvMHAT: Self-supervised Multi-view Multi-Human Association and Tracking (ACM MM 2021, Oral Paper)
This project helps security and operations teams track multiple people across different camera feeds and over time. It takes in video footage from several cameras and outputs identified individuals, showing where they are in each view and how they move between views. Security professionals and surveillance operators would find this tool valuable for monitoring complex environments.
No commits in the last 6 months.
Use this if you need to automatically identify and track the same individuals as they move across multiple video surveillance cameras and over periods of time.
Not ideal if you only need to track a single object or person, or if you are not using a multi-camera setup.
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49
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Language
MATLAB
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Last pushed
Jun 21, 2022
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