An Efficient Approach for Computer Vision Based Human Motion Capture

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 191)

Abstract

In this paper, we present a novel computer vision based human motion capture approach by human body reconstruction process and energy function minimizing. After analyzing 3D human model in detail, we conduct human motion capturing by four steps, which are 1) Capturing the video, 2) Recognizing human feature points, 3) Tracking the feature points, and 4) Representing the motion movement. To test the effectiveness of the proposed approach, we conduct experiments on HumanEva dataset under four metrics. Experimental results show that our approach can capture human motion precisely.

Keywords

Motion capture Computer vision Virtual human model Energy minimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Lanzhou Jiaotong UniversityLanzhouChina

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