DocumentCode :
2142848
Title :
Posture recognition with a 3D human model
Author :
Boulay, B. ; Bremond, E. ; Thonnat, M.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., France
fYear :
2005
fDate :
7-8 June 2005
Firstpage :
135
Lastpage :
138
Abstract :
This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model The 2D approach consists in projections of moving pixels on the reference axis. The 3D model is a realistic articulated human model which is used to obtain reference postures to compare with test postures. We are interested in a set of specific postures which are representative of typical applications in video interpretation. We give results for recognition of general (e.g., standing) and detailed (e.g., standing with one arm up) postures. First results show the effectiveness of our approach for recognition of human posture.
Keywords :
gesture recognition; image sequences; realistic images; video signal processing; 2D approach; 3D human model; human posture recognition; realistic articulated human model; video interpretation; video sequence;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Imaging for Crime Detection and Prevention, 2005. ICDP 2005. The IEE International Symposium on
ISSN :
0537-9989
Print_ISBN :
0-86341-535-0
Type :
conf
DOI :
10.1049/ic:20050085
Filename :
1515879
Link To Document :
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