Extraction of human limb regions and parameter estimation based on curl of optical flow

Proceedings of the Fouth Asian Conference on Computer Vision : ACCV 2000 Volume 2 Page 1008-1013 published_at 2000-01
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Title ( eng )
Extraction of human limb regions and parameter estimation based on curl of optical flow
Creator
Yamamura Tsuyoshi
Ohnishi Noboru
Source Title
Proceedings of the Fouth Asian Conference on Computer Vision : ACCV 2000
Volume 2
Start Page 1008
End Page 1013
Abstract
We propose a method for extracting a rotating limb region and estimating its motion parameters, which is based on the curl of optional flow. Regarding the optional flow as a vector field, the proposed method computes the curl of the optical flow to extract a rotating region. The method assumes that one angular velocity varies in a short time period. By using the EM algorithm, the center of rotation along with rotation angles for each frame is estimated, and simultaneously the rotating region is segmented. Since the proposed method doesn't require a simplicity of background, and can discriminate translational movements produced by other moving objects in the background, it is applicable to a practical situation in which conventional methods doesn't work well. Experimental results with real image sequences demonstrate that the limb extraction can be performed well from noisy optional flow which are obtained from real images.
Keywords
curl
optional flow
pose estimation
motion segmentation
EM algorithm
NDC
Electrical engineering [ 540 ]
Language
eng
Resource Type conference paper
Publisher
Chinese Image Processing and Pattern Recognition Society
Date of Issued 2000-01
Rights
Copyright (c) 2000 Chinese Image Processing and Pattern Recognition Society
Publish Type Author’s Original
Access Rights open access