A Multi-Layer MRF Model Fusing Entropy Information for Foreground Segmentation in Video Sequences
Juan Zhang · Transactions of Beijing Institute of Technology · 2011
To deal with the problem of modeling pixel-pair relationship for foreground segmentation in video sequences,we propose a multi-layer Markov random field(MRF) model fusing entropy information.Pixel model and smooth model are encoded into the Markov random field framework to update the weights of spatio-temporal constraints.The algorithm of loopy belief propagation makes the global energy optimization more effective.Experimental results for different video sequences show our developed method has a better veracity of segmentation results.