Presentation 2004/1/28
A Note on Tracking Pedestrian with SVM
Kohei MATSUDA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes an accurate tracking method of pedestrians by using a Support Vector Machine (SVM). The SVM included in the proposed method judges whether a target pedestrian is occluded or not. The method extracts the targets by using the templates which are made from the pedestrians extracted from the previous frame where they were not occluded. Therefore, the accurate tracking is realized even if the pedestrians are occluded. Experimental results are shown to verify the performance of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) pedestrian tracking / SVM / occlusions
Paper # ITS2003-96,IE2003-231
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Committee IE
Conference Date 2004/1/28(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Tracking Pedestrian with SVM
Sub Title (in English)
Keyword(1) pedestrian tracking
Keyword(2) SVM
Keyword(3) occlusions
1st Author's Name Kohei MATSUDA
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2004/1/28
Paper # ITS2003-96,IE2003-231
Volume (vol) vol.103
Number (no) 644
Page pp.pp.-
#Pages 6
Date of Issue