DocumentCode :
2776574
Title :
Hierarchical part decomposition method of articulated body contour, and its application to human body motion measurement
Author :
Koara, Kengo ; Nishikawa, Atsushi ; Miyazaki, Fhmio
Author_Institution :
Graduate Sch. of Eng. Sci., Osaka Univ., Japan
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
2055
Abstract :
Segmentation of an articulated object is one of the fundamental techniques of computer vision, and it can be applied to human body structure analysis and motion measurement. In this report, we propose a method that generates the contour model of each link element of an articulated object by using the hierarchical part decomposition (HPD) method of body contour. The HPD can divide the body region into characteristic elements without any model of link parameters or shape based on the distribution of high-curvature points of the object´s contour in the video sequence. Although the HPD only works under the restricted situation, the proposed method can also handle more general body motion by using the shape model of human body generated from the decomposed result. Experiment results of measuring the kip motion under real environment show that the proposed method can divide the body into characteristic elements and obtain postures of the body from the video sequence
Keywords :
computer vision; edge detection; image segmentation; image sequences; motion measurement; active contour model; articulated body contour; computer vision; hierarchical part decomposition; human body; image segmentation; motion measurement; shape model; video sequence; Biological system modeling; Body regions; Humans; Image analysis; Image motion analysis; Image sequence analysis; Motion analysis; Motion measurement; Shape; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
0-7803-6348-5
Type :
conf
DOI :
10.1109/IROS.2000.895273
Filename :
895273
Link To Document :
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