Date of Publication :8th March 2018

Abstract: In this paper, an image based fall detection system for elder person who alone at home is introduced. It is novel computer vision based fall detection system using deep learning method to analyse posture in smart home environment. First, background subtraction is employed to extract the foreground human body. Then global local features of human body postures are extracted by HOG (Histogram of Oriented Gradient) and HAAR extractor. After deep learning classifier applied for posture classification. After that certain rules are set to detect falls. Experimental result indicate that the proposed method can realizes human fall detection.

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