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http://dx.doi.org/10.5370/KIEE.2011.60.10.1941

Human-Livestock Classifier by Using Fuzzy Bayesian Algorithm  

Oh, Myung-Jae (군산대학교 제어로봇공학과)
Joo, Young-Hoon (군산대학교 제어로봇공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.60, no.10, 2011 , pp. 1941-1945 More about this Journal
Abstract
In this paper, we propose a real-time classifier to distinguish humans from livestock by using the spatial integral. The image-difference method and the Expectation Maximization are used to reduce noises in input image. A histogram analysis based on Simulated Annealing and the fuzzy-Bayesian algorithm are used to classify human and livestock. Finally, the experiment results show the validity of the proposed method.
Keywords
Fuzzy-bayesian; Histogram; Expectation maximization; Simulated annealing;
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Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 0
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