Car-Rec: A real time car recognition system

Authors:
Daniel Marcus Jang;Matthew Turk
Affiliations:
Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106;Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106
Venue:
WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)
Year:
2011

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Cited 1

Object recognition and pose estimation on embedded hardware: SURF-based system designs accelerated by FPGA logic

International Journal of Reconfigurable Computing - Special issue on Selected Papers from the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2011)

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Abstract

Recent advances in computer vision have significantly reduced the difficulty of object classification and recognition. Robust feature detector and descriptor algorithms are particularly useful, forming the basis for many recognition and classification applications. These algorithms have been used in divergent bag-of-words and structural matching approaches. This work demonstrates a recognition application, based upon the SURF feature descriptor algorithm, which fuses bag-of-words and structural verification techniques. The resulting system is applied to the domain of car recognition and achieves accurate ( 90%) and real-time performance when searching databases containing thousands of images.