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arXiv 1501.05964cs.CV

Advances in Human Action Recognition: A Survey

University of North Texas(北德克萨斯大学)

Guangchun Cheng, Yiwen Wan, Abdullah N. Saudagar, Kamesh Namuduri, Bill P. Buckles

英文摘要:

Human action recognition has been an important topic in computer vision due to its many applications such as video surveillance, human machine interaction and video retrieval. One core problem behind these applications is automatically recognizing low-level actions and high-level activities of interest. The former is usually the basis for the latter. This survey gives an overview of the most recent advances in human action recognition during the past several years, following a well-formed taxonomy proposed by a previous survey. From this state-of-the-art survey, researchers can view a panorama of progress in this area for future research.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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