AaronCIH/APGCC
ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
This project helps operations engineers, city planners, and event organizers accurately count and locate people in crowded images. It takes an image of a crowd as input and outputs a precise count of individuals, along with their estimated locations. This tool is for anyone needing to monitor or manage large gatherings, ensuring better safety and resource allocation.
No commits in the last 6 months.
Use this if you need highly accurate crowd counts and individual localization, especially in challenging, dense crowd scenarios.
Not ideal if you only need rough crowd estimates or if your primary concern is individual identification rather than aggregate counting.
Stars
90
Forks
25
Language
Python
License
MIT
Category
Last pushed
Jul 31, 2024
Commits (30d)
0
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