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

Tamaki Toru

Yamamura Tsuyoshi

Ohnishi Noboru

Proceedings of the Fouth Asian Conference on Computer Vision : ACCV 2000

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.

curl

optional flow

pose estimation

motion segmentation

EM algorithm

Electrical engineering [ 540 ]

eng

Chinese Image Processing and Pattern Recognition Society

Copyright (c) 2000 Chinese Image Processing and Pattern Recognition Society