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http://dx.doi.org/10.5139/JKSAS.2012.40.7.582

Development of Car Type Classification Algorithm on the UAV platform using NCC  

Jeong, Jae-Won (부산대학교 항공우주공학과 대학원)
Kim, Jeong-Ho (부산대학교 항공우주공학과 대학원)
Heo, Jin-Woo (부산대학교 항공우주공학과 대학원)
Han, Dong-In (부산대학교 항공우주공학과 대학원)
Lee, Dae-Woo (부산대학교 항공우주공학과)
Seong, Kie-Jeong (한국항공우주연구원)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.40, no.7, 2012 , pp. 582-589 More about this Journal
Abstract
This paper describes the algorithm recognizing car type from the image received from UAV and the recognition results between three types of car images. Using the NCC(Normalized Cross-Correlation) algorithm, geometric information is matched from template images. Template images are obtained from UAV and satellite map and indoor experiment is performed using satellite map. After verification of the possibility, experiment for verification of same car type recognition is performed using small UAV. In the experiment, same type cars are matched with 0.6 point similarity and truck with similar color distribution is not matched with template image of a sedan.
Keywords
Car Classification; UAV; Normalized Cross-Correlation Algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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