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Proceedings Paper

Hand gesture recognition using a stick figure model
Author(s): Kuplong Yunibhand; Hirotsugu Kinoshita; Yoshinori Sakai
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Paper Abstract

A method for automated 2D human body description (stick figure) based on segmentation is described. Segmentation is based on contrast, motion, and knowledge of body structure. The human body (upper part), segmented into 6 parts, is represented by an adjacency graph. The regions assigned to each part are modeled as a Markov random field (MRF) on the graph, and the body part detection problem is then formulated as a maximum a posteriori (MAP) estimation. In addition, an algorithm for generating stick figures without excessive computation is proposed.

Paper Details

Date Published: 22 October 1993
PDF: 6 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157879
Show Author Affiliations
Kuplong Yunibhand, Tokyo Institute of Technology (Japan)
Hirotsugu Kinoshita, Tokyo Institute of Technology (Japan)
Yoshinori Sakai, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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