automatic background substitution using monocular camera and temporal foreground probability model
This paper describes an automatic background substitution for PC-softphone applications. Different from previous works on this topic which are mostly using stereo camera, we provide a solution which can segment the foreground region with monocular camera which is not moving. There are three main contributions from this paper. First, our proposed algorithm can segment the foreground region without any manual initialization. Second, we improve accuracy of the foreground segmentation using the Temporal Foreground Probability Model(TFPM). Finally, natural composite image was achieved by adaptive color and intensity correction method
background substitution foreground segmentation