基于轮廓图像的人体姿态估计

Bin Fan, Zeng-Fu Wang
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引用次数: 18

摘要

提出了一种基于人体轮廓的关节姿态识别方法。该方法首先利用能量函数从轮廓中提取人体假骨架,然后利用人体解剖知识和标准人体骨骼模型给出的三条规则估计关节的位置。这三条规则可以帮助我们判断骨骼上的一个点是否为关节。实验结果表明,该方法是有效的。它不需要对人体的运动和颜色有任何额外的限制。同时,该方法对轮廓噪声具有较强的鲁棒性。特别是在复杂背景下,它具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pose estimation of human body based on silhouette images
A method for articulated-pose identification from the silhouette of a human body is presented in this paper. First the method employs an energy function to extract a dummy skeleton of a human body from the silhouette, and then estimates the position of the joints by the knowledge of anthropotomy and three rules given by the standard human skeleton model. The three rules can help us to judge whether a point on the skeleton is a joint or not. The experimental results show that, the method is effective. It requires no any additional restrictions on the motion and color of a human body. Meantime the method is robust against the noise in the silhouette. Especially it has good performance in the case of complicated background.
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