caglarmert/MOT-Research
Human Activity Recognition Research Repository
This project helps researchers and practitioners analyze human movement by identifying and tracking multiple objects and recognizing complex human activities from video and sensor data. It takes in raw sensor data or video streams and outputs classifications of human actions and tracked object paths. This tool is ideal for anyone working in surveillance, sports analytics, robotics, or healthcare monitoring.
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Use this if you need to automatically detect, track, and classify specific human activities from visual or sensor-based inputs.
Not ideal if you are looking for a plug-and-play solution for general object detection or tracking that doesn't involve complex human activity analysis, or if your domain requires highly specialized, out-of-the-box models for very rare actions.
Stars
16
Forks
3
Language
Python
License
MIT
Category
Last pushed
Aug 30, 2024
Commits (30d)
0
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