tteepe/GaitGraph
Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)
This project helps identify individuals based on how they walk, even from low-resolution or partially obscured video. It takes video footage of a person walking and processes it to extract their unique skeletal movement patterns, then outputs an identification or comparison of gait patterns. Security analysts, forensic investigators, or researchers in biometric identification would find this valuable.
109 stars. No commits in the last 6 months.
Use this if you need to identify people from video footage based purely on their walking style, especially in situations where other biometrics like facial recognition are challenging.
Not ideal if you need a plug-and-play solution for real-time security systems without significant technical setup or if you're looking to analyze subtle medical gait abnormalities.
Stars
109
Forks
27
Language
Python
License
MIT
Category
Last pushed
Apr 19, 2022
Commits (30d)
0
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