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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ITS / Vehicle recognition / Image processing / Eigen-window / Binary features method |
Paper # | PRMU2001-86 |
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Committee | PRMU |
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Conference Date | 2001/9/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |