yuntaeJ/SCIT-MCMT-Tracking
[CVPRW 2023] "Leveraging Future Trajectory Prediction for Multi-Camera People Tracking"
This project helps security personnel or crowd managers accurately track individual people across multiple surveillance cameras. It takes video feeds from several cameras as input and outputs continuous, distinct trajectories for each person, even when they move between camera views. This is ideal for anyone needing to monitor the movement of individuals in a large area, like a shopping mall, airport, or public event.
No commits in the last 6 months.
Use this if you need to reliably follow specific individuals through an area covered by an array of security cameras.
Not ideal if you only need to count people or detect their presence within a single camera's view, or if you don't require their future movement to be predicted.
Stars
54
Forks
6
Language
Python
License
MIT
Category
Last pushed
Nov 17, 2023
Commits (30d)
0
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