chengche6230/ReST
[ICCV 2023] ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking
This project helps operations engineers or security personnel accurately track multiple moving objects across an area observed by several surveillance cameras. It takes in video feeds from different cameras and identifies each distinct object, outputting a clear, continuous path for every object, even if they momentarily disappear or cross between camera views. This ensures that every individual or vehicle is consistently identified and followed throughout the entire monitored space and time.
166 stars. No commits in the last 6 months.
Use this if you need a robust solution for tracking multiple objects across a network of surveillance cameras in real-time, such as in busy public spaces or industrial facilities.
Not ideal if you only need to track a single object, or if your application involves a static environment with no moving targets.
Stars
166
Forks
18
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2024
Commits (30d)
0
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