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Human Fall Detection Using Standard Deviation of C-Motion Method

Nuttapong Worrakulpanit and Pranchalee Samanpiboon
Department of Control system and Instrumentation Engineering King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
Abstract—Nowadays, the number of elderly people is continuously increasing, therefore fall detection system is becoming more important to elder who left alone because the fall may cause injury or even mortality. This paper proposes the fall detection system using IP Camera that installed on high position like bird’s eye view for getting wide angle view of the room. This system detects human fall on real time basis using “Standard Deviation of C-Motion” method which indicating the changing rate of human motion, and using “The Orientation Standard Deviation of The Ellipse” method which indicating the changing rate of human shape. Last step, we use three essential conditions for verify the “Fall” motion. The experimental results show that the proposed fall detection system can be used in practical.

Index Terms—Image processing, fall detection, Motion History Image

Cite: Nuttapong Worrakulpanit and Pranchalee Samanpiboon, "Human Fall Detection Using Standard Deviation of C-Motion Method," Jounal of Automation and Control Engineering, Vol. 2, No. 4, pp. 388-391, December, 2014. doi: 10.12720/joace.2.4.388-391
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