Human pose estimation algorithm based on segmentations of human head and shoulder in video sequences
视频序列中基于头肩分割的人体位姿估计算法

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.