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Paper Abstract and Keywords
Presentation 0000-00-00 00:00
Bicycle Detection Using Pedaling Movement by Spatiotemporal Gabor Filtering
Kazuyuki Takahashi, Yasutaka Kuriya, Takashi Morie (Kyutech)
Abstract (in Japanese) (See Japanese page) 
(in English) To asist a safety driving, it is important to detect objects such as cars, pedestrians and bikes. Although high accuracy is achieved by HOG descriptors for a object detection, it is difficult to discriminate bicycles from similar shape object such as motorbikes. In this paper, we propose a bicycle detection algorithm using pedaling movement which can be achieved by using spatiotemporal 3D Gabor filtering. The pedaling movement enable us to discriminate between bicycles and motorbikes. From the experimental results using video images, our proposed algorithm is able to improve the performance to discriminate between bicycles and motorbikes.
Keyword (in Japanese) (See Japanese page) 
(in English) computer vision / bicycle detection / spatiotemporal Gabor filter / relative motion / / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2011-02-21 - 2011-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IEICE-ITS 
Conference Code 2011-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bicycle Detection Using Pedaling Movement by Spatiotemporal Gabor Filtering 
Sub Title (in English)  
Keyword(1) computer vision  
Keyword(2) bicycle detection  
Keyword(3) spatiotemporal Gabor filter  
Keyword(4) relative motion  
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1st Author's Name Kazuyuki Takahashi  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Yasutaka Kuriya  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Takashi Morie  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Registration for IEICE-ITS 
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Volume (vol) vol.35 
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