Study on fall detection based on intelligent video analysis
Advanced Technologies for Communications（2012）
摘要
In this paper, a fall detection algorithm has been built using intelligent analysis of captured video signal. Five geometrical features are extracted from input video signal and are recognized by a trained feed-forward neural network. Experimental results on our self-built database show that the proposed fall detection system can detect fall events with quite high precision under different falling conditions.
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关键词
feature extraction,feedforward neural nets,image segmentation,learning (artificial intelligence),video signal processing,visual databases,feature recognition,feedforward neural network training,geometrical feature extraction,input video signal,intelligent video analysis-based fall detection algorithm,self-built database,fall detection,neural network,recognition,segmentation,learning artificial intelligence
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