| Title |
Human-Livestock Classifier by Using Fuzzy Bayesian Algorithm |
| Authors |
오명재(Oh, Myung-Jae) ; 주영훈(Joo, Young-Hoon) |
| DOI |
https://doi.org/10.5370/KIEE.2011.60.10.1941 |
| Keywords |
Fuzzy-bayesian ; Histogram ; Expectation maximization ; Simulated annealing |
| 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. |