Title :
Extracting method of characteristic posture from human behavior for surveillance camera
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Tokyo, Japan
Abstract :
This study proposes extracting method of characteristic posture so that an observer can detect speedily the threat of crime in enormous numbers of dynamic image shot by surveillance camera. This method measures human movement using Motion Quantity, and shows active state between 0.0 and 1.0 in numeric evaluation. We can know how much active state person acts in his/her behavior objectively. In addition, the difference between successive Motion Quantities denotes the magnitude of the change of active state. And, if the amount combining them is large, this method extracts the human pose as characteristic posture.
Keywords :
motion estimation; pose estimation; video surveillance; characteristic posture extraction; human behavior; motion quantity method; surveillance camera; Abstracts; Biological system modeling; Biomedical monitoring; Data mining; Digital cameras; Humans; Joints; Motion measurement; Shape; Surveillance; active state; characteristic posture; human behavior; human pose; surveillance camera;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3