DocumentCode :
2237161
Title :
Human Posture Recognition with Convex Programming
Author :
Jiang, Hao ; Li, ZeNian ; Drew, Mark S.
Author_Institution :
School of Computing Science, Simon Fraser University Burnaby BC, Canada, V5A 1S6, hjiangb@cs.sfu.ca
fYear :
2005
fDate :
6-8 July 2005
Firstpage :
574
Lastpage :
577
Abstract :
We present a novel human posture recognition method us ing convex programming based matching schemes. Instead of trying to segment the object from the background, we develop a novel multistage linear programming scheme to locate the target by searching for the best matching region based on an automatically acquired graph template. The linear programming based visual matching scheme gener ates relatively dense matching patterns and thus presents a key for robust object matching and human posture recogni tion. By matching distance transformations of edge maps, the proposed scheme is able to match figures with large ap pearance changes. We further present object recognition methods based on the similarity of the exemplar with the matching target. The proposed scheme can also be used for recognizing multiple targets in an image. Experiments show promising results for recognizing human postures in clut tered environments.
Keywords :
Biological system modeling; Cameras; Clothing; Humans; Linear programming; Object recognition; Pattern matching; Pattern recognition; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521488
Filename :
1521488
Link To Document :
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