DocumentCode :
3046828
Title :
A poselet-based approach for fall detection
Author :
Lv, Qingcong
Volume :
2
fYear :
2011
fDate :
9-11 Dec. 2011
Firstpage :
209
Lastpage :
212
Abstract :
Thousands of elderly people are victim of a fall incident every year. So it is important to have a fall detection system. This paper gives a poselet-based approach to detect a fall in video. Combined with aspect ratio, the centroid of the torso computation and interaction objects reorganization, the method may detect falls with partial occlusion and pose variations.
Keywords :
hidden feature removal; object recognition; pose estimation; video signal processing; aspect ratio; fall detection system; interaction object reorganization; occlusion; pose variation; poselet based approach; torso computation fall centroid; Accelerometers; Feature extraction; Humans; Senior citizens; Sensors; Torso; Training; Fall Detection; Lying Pose Recognition; Poselets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
Type :
conf
DOI :
10.1109/ITiME.2011.6132023
Filename :
6132023
Link To Document :
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