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Journal of System Simulation

Abstract

Abstract: Human body is decomposed into several local component templates connected with tree structure by articulated pose estimation with mixture-of-parts, and the corresponding full score is used to estimate body pose. Such a method fails in precisely estimating human pose due to the defects of tree models when human has the complicated pose of body. To address this problem, pose estimation using limbs adjustment with mixtures-of-parts models was proposed. And pixel discrete direction, local characteristic functions blending full score and pixel discrete direction and other attributes, and pose estimation using limbs adjustment based on local characteristic functions of articulated position were proposed, which is better than the method based on articulated pose estimation with mixtures-of-parts.

First Page

2344

Revised Date

2015-07-22

Last Page

2351

CLC

TP391

Recommended Citation

Cai Peng, Kong Dehui, Yin Baocai, Huo Yi. Pose Estimation Using Limbs Adjustment[J]. Journal of System Simulation, 2015, 27(10): 2344-2351.

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