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This paper describes a human shape reconstruction method from multiple cameras in daily living environment, which leads to robust markerless motion capture. Due to continual illumination changes in daily space, it had been difficult to get human shape by background subtraction methods. Recent statistical foreground segmentation techniques based on graphcuts, which combine background subtraction information and image contrast, provide successful results; however, they fail to extract human shapedoi:10.1109/iros.2011.6095125 dblp:conf/iros/MurasakiSMS11 fatcat:w3lmfnru4vggxa2hzfmwvsxkhy