Human body motion segmentation in a complex scene
Pattern RecognitionPublished 1 January 1987
M.K.H. Leung, Yee‐Hong Yang
Citations64
SJR quartileQ1
SJR score2.06
SNIP2.67
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TL;DR
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.
Abstract
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.
Keywords
Computer Science
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