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http://dx.doi.org/10.9717/kmms.2011.14.10.1243

A Vehicle Model Recognition using Car's Headlights Features and Homogeneity Information  

Kim, Mih-Ho (경북대학교 대학원 전자전기컴퓨터학부)
Choi, Doo-Hyun (경북대학교 전자공학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.10, 2011 , pp. 1243-1251 More about this Journal
Abstract
This paper proposes a new vehicle model recognition using scale invariant feature transform to car's headlights image. Proposed vehicle model recognition raises the accuracy using "homogeneity" calculated from the distribution of features. In the experiment with 400 test images taken from 54 different vehicles, proposed method has 90% recognition rate and 16.45 homogeneity.
Keywords
Vehicle Model Recognition; Car Headlights; SIFT;
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Times Cited By KSCI : 1  (Citation Analysis)
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