A survey on vision-based human action recognition
A survey on vision-based human action recognition
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DOI：
10.1016/j.imavis.2009.11.014
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发表时间：
2010-06-01
影响因子：
4.7
通讯作者：
Poppe, Ronald
中科院分区：
文献类型：
--
作者：
Poppe, Ronald
基于视觉的人体动作识别是对图像序列进行动作标注的过程。这个问题的鲁棒解决方案在视觉监控、视频检索和人机交互等领域都有应用。这项任务是具有挑战性的，由于在运动性能，记录设置和人际差异的变化。在本调查中，我们明确应对这些挑战。我们提供了一个详细的概述，目前在该领域的进展。图像表示和随后的分类过程分别讨论，专注于最近的研究的新颖性。此外，我们还讨论了现有技术的局限性，并概述了有前途的研究方向。(C)2009 Elsevier B.V.保留所有权利。
Vision-based human action recognition is the process of labeling image sequences with action labels. Robust solutions to this problem have applications in domains such as visual surveillance, video retrieval and human-computer interaction. The task is challenging due to variations in motion performance, recording settings and inter-personal differences. In this survey, we explicitly address these challenges. We provide a detailed overview of current advances in the field. Image representations and the subsequent classification process are discussed separately to focus on the novelties of recent research. Moreover, we discuss limitations of the state of the art and outline promising directions of research. (C) 2009 Elsevier B.V. All rights reserved.