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An illumination-invariant background model for detecting objects in dynamic scenes is proposed. It is robust in the cases of sudden illumination fluctuation as well as burst moving background. Unlike previous works, it distinguishes objects from a dynamic background using co-occurrence character between a target pixel and its supporting pixels in the form of multiple pixel pairs. Experiments used...
In this paper, we present a novel robust technique for background subtraction in different complex conditions (e.g. sudden illumination changes, swaying leaves, and camera vibrations). Unlike the previous works, the proposed method utilizes multiple point pairs that exhibit a stable statistical intensity relationship as a background model. The intensity difference between pixels of the pair is much...
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