视频序列中基于头肩分割的人体位姿估计算法

徐萧萧; 王智灵; 陈宗海

doi:10.11834/jig.20101205

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视频序列中基于头肩分割的人体位姿估计算法
Human pose estimation algorithm based on segmentations of human head and shoulder in video sequences
2010年15卷第12期页码：1804
网络出版：2010-12-13，

纸质出版：2010
DOI： 10.11834/jig.20101205
稿件说明：

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徐萧萧, 王智灵, 陈宗海. 视频序列中基于头肩分割的人体位姿估计算法[J]. 中国图象图形学报, 2010,15(12):1804. DOI： 10.11834/jig.20101205.

Xu XiaoXiao, Wang Zhiling, Chen Zonghai. Human pose estimation algorithm based on segmentations of human head and shoulder in video sequences[J]. Journal of Image and Graphics, 2010, 15(12): 1804. DOI： 10.11834/jig.20101205.

摘要

当前常用3维重构的方法表示和计算视频中的人体位姿，但由于这些方法通常需要多个摄像头，不仅限制条件多，且计算复杂度高，为此，提出了一种基于头肩分割的人体位姿估计算法。该算法首先对视频中的人体进行头肩定位；然后利用人体头部的平面成像特点计算头部位姿，同时利用人体肩部的轮廓变化特点计算躯干位姿；最后结合头部和躯干的位姿估计运动中的人体位姿。实验结果证明，该算法是有效和优越的。

Abstract

To describe and estimate a human pose in video sequences

most methods use 3D reconstruction. These methods often need multiple cameras

have high computation complexity and need many limit conditions. Because of these limitations

this paper proposes a human pose estimation algorithm based on segmentations of human head and shoulder. In this algorithm

the positions of human head and shoulder are located

then the head pose is obtained from the characteristics of plane imaging of human head and the body pose is obtained from the characteristics of the silhouette of human shoulder. Moving human pose is estimated by both head and body poses. The experiment results demonstrate the validity and superiority of the proposed algorithm.