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http://dx.doi.org/10.9717/kmms.2014.17.12.1418

Two-wheelers Detection using Local Cell Histogram Shift and Correlation  

Lee, Sanghun (Gyeongbuk Science & Technology Promotion Center)
Lee, Yeunghak (Dept. of Avionic Electronics Eng., Kyungwoon University)
Kim, Taesun (Dept. of Avionic Electronics Eng., Kyungwoon University)
Shim, Jaechang (Dept. of Computer Eng., Andong National University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.12, 2014 , pp. 1418-1429 More about this Journal
Abstract
In this paper we suggest a new two-wheelers detection algorithm using local cell features. The first, we propose new feature vector matrix extraction algorithm using the correlation two cells based on local cell histogram and shifting from the result of histogram of oriented gradients(HOG). The second, we applied new weighting values which are calculated by the modified histogram intersection showing the similarity of two cells. This paper applied the Adaboost algorithm to make a strong classification from weak classification. In this experiment, we can get the result that the detection rate of the proposed method is higher than that of the traditional method.
Keywords
HOG; Adaboost; Weak Classification; Histogram Intersection;
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Times Cited By KSCI : 1  (Citation Analysis)
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