NDLI: Model-based markerless human body motion capture using active contour

Content Provider	IEEE Xplore Digital Library
Author	Chengkai Wan Baozong Yuan Lihui Wang Zhenjiang Miao
Copyright Year	2008
Description	Author affiliation: Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing (Chengkai Wan; Baozong Yuan; Lihui Wang; Zhenjiang Miao)
Abstract	In this paper, we propose a new markerless model-based human body motion capture algorithm. It no longer requires the foreground segmentation as an essential introductory step. The algorithm combines the human body model with pose parameters and the images from multiple cameras, and conducts segmentation and motion capture simultaneously via active contours and level set. In the process of curve evolution, the curve drives the human model close to the human real pose in each camera. On the other hand, when the human model is superposed with the human real pose, the curve will be balanced at the best position based on the prior shape segmentation. Promising results on real images demonstrate the potentials of the presented method.
Starting Page	1342
Ending Page	1345
File Size	206783
Page Count	4
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697380
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Humans Active contours Image segmentation Cameras Level set Computer vision Kinematics Shape Stochastic processes level set markerless motion capture active contour
Content Type	Text
Resource Type	Article

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