Human body motion segmentation in a complex scene

摘要

In this paper, a new technique for partitioning a human body, when it is in motion, into meaningful parts is presented. The technique is based on classifying coincidence edges which are edges in both the difference picture and the current frame. Each class of edges has a specific voting scheme which can then be used for the identification of regions of interest. Experimental results show that the technique can eliminate a lot of stationary regions and thus can reduce the amount of processing required in the interpretation process.