DocumentCode
2860391
Title
3D Shape Context Based Gesture Analysis Integrated with Tracking using Omni Video Array
Author
Huang, Kohsia S. ; Trivedi, Mohan M.
Author_Institution
University of California, San Diego
fYear
2005
fDate
25-25 June 2005
Firstpage
80
Lastpage
80
Abstract
In this paper we introduce a multilayer cylindrical histogram based feature space for representing 3D shape context of human body. Dynamics of gestures are analyzed using discrete hidden Markov models (DHMM) with quantized feature vectors. Extensive experimental trials with multiple subjects and a range of gesture classes are presented. Gesture recognition accuracies of over 85% (for nine gestures, and 9 subjects) and over 95% (for seven gestures) support the basic feasibility and robustness of the approach.
Keywords
3D person tracking; Movement analysis; activity analysis; multi-camera systems.; Biological system modeling; Cameras; Computer vision; Context modeling; Hidden Markov models; Humans; Information analysis; Pattern analysis; Robustness; Shape; 3D person tracking; Movement analysis; activity analysis; multi-camera systems.;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
Conference_Location
San Diego, CA, USA
ISSN
1063-6919
Print_ISBN
0-7695-2372-2
Type
conf
DOI
10.1109/CVPR.2005.382
Filename
1565387
Link To Document