Appearance tracker based on sparse eigentemplate

Takeshi Shakunaga, Yasuharu Matsubara, Kiyoshi Noguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
Pages13-17
Number of pages5
Publication statusPublished - Dec 1 2005
Event9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan
Duration: May 16 2005May 18 2005

Publication series

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

Other

Other9th IAPR Conference on Machine Vision Applications, MVA 2005
CountryJapan
CityTsukuba Science City
Period5/16/055/18/05

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Appearance tracker based on sparse eigentemplate'. Together they form a unique fingerprint.

  • Cite this

    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 (pp. 13-17). (Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005).