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首页> 外文期刊>Journal of visual communication & image representation >A survey of human pose estimation: The body parts parsing based methods
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A survey of human pose estimation: The body parts parsing based methods

机译:人体姿势估计调查:基于身体部位解析的方法

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摘要

Estimating human pose from videos and image sequences is not only an important computer vision problem, but also plays very critical role in many real-world applications. Main challenges for human pose estimation are variation of body poses, complicated background and depth ambiguities. To solve these problems, considerable research efforts have been devoted to the related fields. In this survey, we focus our attention on the recent advances in vision-based human pose estimation. We first present a general framework of human pose estimation, and then go through the latest technical progress on each stage. Finally, we discuss the limitations of the existing approaches and foresee the future directions to be explored. (C) 2015 Elsevier Inc. All rights reserved.
机译:从视频和图像序列估计人体姿势不仅是重要的计算机视觉问题,而且在许多实际应用中也起着至关重要的作用。人体姿势估计的主要挑战是人体姿势的变化,复杂的背景和深度模糊性。为了解决这些问题,已经在相关领域进行了大量的研究工作。在这项调查中,我们将注意力集中在基于视觉的人体姿势估计的最新进展上。我们首先介绍人体姿势估计的一般框架,然后在每个阶段进行最新的技术进步。最后,我们讨论了现有方法的局限性,并预见了将要探索的未来方向。 (C)2015 Elsevier Inc.保留所有权利。

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