negarhdr/skeleton-based-action-recognition
This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
This project helps security analysts, sports scientists, or healthcare professionals automatically identify specific human actions from video footage. It takes raw video data, extracts key body joint movements (skeletons), and outputs classifications of the actions being performed (e.g., 'walking,' 'running,' 'falling'). It's designed for anyone needing to monitor or analyze human movement efficiently.
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Use this if you need to automatically recognize and categorize human actions from video data based on body posture and movement.
Not ideal if you need to recognize objects or static scenes, or if your primary input is not video data that can be converted to skeleton sequences.
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Python
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Last pushed
Nov 22, 2024
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