Presentation 2001/9/6
Vehicle Recognition with Local-Feature Based Algorithm
Tatsuya YOSHIDA, Masataka KAGESAWA, Tetsuya TOMONAKA, Katsushi IKEUCHI,
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Abstract(in English) In this paper, we describe a robust method for recognizing vehicles. Our system is based on local-feature configration method, which is a generalization of eigen-window method. This method has following advances. It can detect even if part of vehicle is occluded, and it is robust against ilumination changes. We have developed our system with infrared images, but in this paper, we apply our system on images of super wide-angle nomal light images. In outdoor experiments, our system detects over 95% of vehicles.
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Keyword(in English) ITS / Vehicle recognition / Image processing / Eigen-window / Binary features method
Paper # PRMU2001-86
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Conference Information
Committee PRMU
Conference Date 2001/9/6(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Vehicle Recognition with Local-Feature Based Algorithm
Sub Title (in English)
Keyword(1) ITS
Keyword(2) Vehicle recognition
Keyword(3) Image processing
Keyword(4) Eigen-window
Keyword(5) Binary features method
1st Author's Name Tatsuya YOSHIDA
1st Author's Affiliation Institute of Industrial Science, University of Tokyo()
2nd Author's Name Masataka KAGESAWA
2nd Author's Affiliation Institute of Industrial Science, University of Tokyo
3rd Author's Name Tetsuya TOMONAKA
3rd Author's Affiliation Takasago Research & Development Center, Mitsubishi Heavy Industries, Ltd.
4th Author's Name Katsushi IKEUCHI
4th Author's Affiliation Institute of Industrial Science, University of Tokyo
Date 2001/9/6
Paper # PRMU2001-86
Volume (vol) vol.101
Number (no) 302
Page pp.pp.-
#Pages 6
Date of Issue