cwlroda/falldetection_openpifpaf
A fall detection system that applies OpenPifPaf human pose estimation to video streams, webcams, and RTSP feeds.
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This repository implements a fall detection model using OpenPifPaf’s deep learning-based human pose estimation. The system detects falls by analyzing human body poses in video and can run on both GPU and CPU across multiple video sources, RTSP streams, and USB cameras. It includes a person tracker to handle scenes with multiple people simultaneously.
Frequently asked
- What is cwlroda/falldetection_openpifpaf?
- A fall detection system that applies OpenPifPaf human pose estimation to video streams, webcams, and RTSP feeds.
- Is falldetection_openpifpaf open source?
- Yes — cwlroda/falldetection_openpifpaf is an open-source project tracked on heatdrop.
- What language is falldetection_openpifpaf written in?
- cwlroda/falldetection_openpifpaf is primarily written in Python.
- How popular is falldetection_openpifpaf?
- cwlroda/falldetection_openpifpaf has 424 stars on GitHub.
- Where can I find falldetection_openpifpaf?
- cwlroda/falldetection_openpifpaf is on GitHub at https://github.com/cwlroda/falldetection_openpifpaf.