Appearance tracker based on sparse eigentemplate

Takeshi Shakunaga; Yasuharu Matsubara; Kiyoshi Noguchi

Appearance tracker based on sparse eigentemplate

Takeshi Shakunaga, Yasuharu Matsubara, Kiyoshi Noguchi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A novel scheme is proposed for the efficient object tracking by using partial projections of a sparse set of pixels to eigenspaces. This paper shows a theoretical framework of the sparse eigentemplate matching and its application to a real-time face tracker. The sparse eigentemplate matching is formalized as a partial projection onto an eigenspace. Only using a small number of pixels, it facilitates an efficient template matching. In the application, a condensation framework is combined with the sparse eigentemplate matching in order to make a robust and efficient tracker. Experimental results show that the condensation tracker can track a face in real time even when the lighting condition changes.

Original language	English
Title of host publication	Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
Pages	13-17
Number of pages	5
Publication status	Published - Dec 1 2005
Event	9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan Duration: May 16 2005 → May 18 2005

Publication series

Name	Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

Other

Other	9th IAPR Conference on Machine Vision Applications, MVA 2005
Country/Territory	Japan
City	Tsukuba Science City
Period	5/16/05 → 5/18/05

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

Appearance tracker based on sparse eigentemplate. / Shakunaga, Takeshi; Matsubara, Yasuharu; Noguchi, Kiyoshi.
Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005. 2005. p. 13-17 (Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shakunaga, T, Matsubara, Y & Noguchi, K 2005, Appearance tracker based on sparse eigentemplate. in Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005. Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005, pp. 13-17, 9th IAPR Conference on Machine Vision Applications, MVA 2005, Tsukuba Science City, Japan, 5/16/05.

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M3 - Conference contribution

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Appearance tracker based on sparse eigentemplate

Abstract

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ASJC Scopus subject areas

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