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