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Vehicle Detection Using Edge Analysis and AdaBoost Algorithm  

Song, Gwang-Yul (Department of Industrial Engineering, Automobile Research Center, Chonnam National University)
Lee, Ki-Yong (Department of Industrial Engineering, Automobile Research Center, Chonnam National University)
Lee, Joon-Woong (Department of Industrial Engineering, Automobile Research Center, Chonnam National University)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.17, no.1, 2009 , pp. 1-11 More about this Journal
Abstract
This paper proposes an algorithm capable of detecting vehicles in front or in rear using a monocular camera installed in a vehicle. The vehicle detection has been regarded as an important part of intelligent vehicle technologies. The proposed algorithm is mainly composed of two parts: 1)hypothesis generation of vehicles, and 2)hypothesis verification. The hypotheses of vehicles are generated by the analysis of vertical and horizontal edges and the detection of symmetry axis. The hypothesis verification, which determines vehicles among hypotheses, is done by the AdaBoost algorithm. The proposed algorithm is proven to be effective through experiments performed on various images captured on the roads.
Keywords
Vehicle detection; Edge analysis; AdaBoost algorithm; Hypothesis generation; Hypothesis verification;
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