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