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This paper presents a new adaptive fuzzy approach for background estimation in video sequences of complex scene from the function estimation point of view. A Takagi-Sugeno-Kang (TSK) type fuzzy system is used as the function estimator in the study. The proposed approach uses a hybrid learning method combining both the particle swarm optimization (PSO) and the Kernel Least Mean Square (KLMS) to train...
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