A VEHICLE RECOGNITION METHOD ROBUST AGAINST VEHICLES' OVERLAPPING BASED ON STEREO VISION
This paper presents a stereo-based method for recognizing overlapped vehicles. The method has three key features: 1) feature extraction based on a size-changeable feature extraction window, 2) camera calibration using environmental information, and 3) model matching with various overlapped vehicles' models. Experimental results reveal an average recognition rate of above 95% for images that which have overlapped vehicles.
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Supplemental Notes:
- Publication Date: 1999. IEEE Service Center, Piscataway NJ
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Corporate Authors:
Nippon Shingo Kabushiki Kaisha
,Ruhr-Universitat Bochum. Institut fur Neuroinformatik
,Universitat-Gesamthochschule-Siegen
,Hitachi Seisakujo
,Osaka Daigaku
,Keisatsu Daigakko
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Authors:
- Kimachi, Masatoshi
- Wu, Yue
- Ogata, Shiro
- Conference:
- Publication Date: 1999
Language
- English
Media Info
- Pagination: p. 865-869
Subject/Index Terms
- TRT Terms: Cameras; In vehicle sensors; Pattern recognition systems
Filing Info
- Accession Number: 00922608
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: Apr 30 2002 12:00AM