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JACIII Vol.13 No.3 pp. 193-203
doi: 10.20965/jaciii.2009.p0193
(2009)

Paper:

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Soccer Player’s Pose Recognition by Creative Search for Generating Free Viewpoint Images

Haruki Kawanaka*, Fuminori Matsubara**,
and Yuji Iwahori**

*School of Information Science & Technology, Aichi Prefectural University 1522-3 Ibaragabasama, Kumabari, Nagakute-cho, Aichi-gun, Aichi 480-1198, Japan

**Department of Computer Science, Chubu University 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, Japan

Received:
November 25, 2008
Accepted:
February 9, 2009
Published:
May 20, 2009
Creative Commons License
Keywords:
pose recognition, parametric eigenspace method, principal component analysis, free viewpoint image
Abstract
The low-cost generation we have proposed for a free viewpoint image of soccer games uses a multiple viewpoint image database designed with computer graphics for recognizing player poses in the real image and for generating virtual scenes. A pose is recognized from a player’s silhouette and applying parametric eigenspace method. Because only silhouette information is used, however, limb positioning may be backward or the body misdirected. Our new proposal for excluding misplaced left and right limb poses assumes that changes in a pose, especially limb positioning, between sequential frames are continuous, so the limb positioning in 3D space and 2D images can be determined and the search range restricted in eigenspace. We also propose generating continuous frames for cases in which a correct pose exists outside of the restricted range by setting an initial state and handling error.
Cite this article as:
H. Kawanaka, F. Matsubara, and Y. Iwahori, “Soccer Player’s Pose Recognition by Creative Search for Generating Free Viewpoint Images,” J. Adv. Comput. Intell. Intell. Inform., Vol.13 No.3, pp. 193-203, 2009.
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