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Multi Cam Multi Person Fall Detection by hari haran is a document available to read on EtoBox.
What is Multi Cam Multi Person Fall Detection about?
The document discusses a multi-camera, multi-person, and real-time fall detection system using Long Short Term Memory (LSTM) networks, aimed at reducing the risks of falls among the elderly living alone. The proposed method enhances human pose estimation by incorporating multi-camera tracking and achieves a high F1-score of 92.5% on the UP-fall detection dataset, although it faces challenges with false positives due to data imbalance. Future work includes acquiring a more representative multi-camera dataset
- Author
- hari haran
- Language
- EN