人体姿态的实时估计研究

B. Li, Z. Zhao
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引用次数: 0

摘要

本研究提出了一种人体姿态的实时估计方法。首先,根据其特征,对经过预处理的人体动态图像进行图像分割。其次对他的身体构成进行采样,并选择相应的关键点。根据这些关键点的位置分别绘制他的人体骨架和轮廓,并提取他的特征。最后,根据人体骨骼关键点之间的距离构建距离矩阵,实现图像识别,成功估计出行人姿态。实验结果表明,该方法具有较好的实时性,能在一定程度上估计出常用姿态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on real-time estimation for human pose
This study addresses a method for real-time estimation for human pose. Firstly, depending upon his feature, image segmentation is performed on a human dynamic image preprocessed. His body composition is secondly sampled and its key points are correspondingly selected. His human skeleton and contours are separately sketched according to such key points' positions and his feature extracted. Finally, distance matrices can be built from the distances between the key points of human skeleton in order to realize image recognition with the result that such pedestrian pose is capable of being estimated successfully. The experimental results shows that his method has a better realtime capability and usual poses can be estimated to some extent.
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