ISSN : 1796-217X
Volume : 4    Issue : 5    Date : July 2009

Shape Profile Matching and Its Applications
Lu Lv, Yongjin Liu, Wenqi Zhang, Changhao Jiang, Xiaoyu Chen, Terry Chang, and Matthew Yuen
Page(s): 413-421
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The focus of this paper is on the development of a novel cross correlation technique for shape
matching between two similar objects. The shape profile is derived from the curvature of the object
profile. The cross correlation technique is applied to the shape profile of the two image objects to
evaluate their similarity. An application of the shape profile technique is presented in the context of
pose detection of human models from image sequences or videos. To extract the feature points on
the human model, a number of human motion templates are constructed with designated feature
points on each of the human motion profiles. The human model feature extraction procedure is
divided into two steps, including: (1) pre-process and construction of motion templates, and (2)
extraction of feature points. The best matched template image pairs and best fitted feature points
are identified by evaluating the cross correlation coefficient of the corresponding shape profiles. The
proposed method is demonstrated by experimental results.

Index Terms
shape profile; feature matching; pose detection