Sensors | |
Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation | |
Xin Xu1  Jinshan Tang1  Xiaolong Zhang1  Xiaoming Liu1  Hong Zhang1  | |
[1] School of Computer Science and Technology, Wuhan University of Science and Technology, NO. 947 Heping Road, Wuhan 430081, Hubei, China | |
关键词: vision surveillance; activity recognition; surveillance system; performance evaluation; | |
DOI : 10.3390/s130201635 | |
来源: mdpi | |
【 摘 要 】
With the wide applications of vision based intelligent systems, image and video analysis technologies have attracted the attention of researchers in the computer vision field. In image and video analysis, human activity recognition is an important research direction. By interpreting and understanding human activities, we can recognize and predict the occurrence of crimes and help the police or other agencies react immediately. In the past, a large number of papers have been published on human activity recognition in video and image sequences. In this paper, we provide a comprehensive survey of the recent development of the techniques, including methods, systems, and quantitative evaluation of the performance of human activity recognition.
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190038689ZK.pdf | 302KB | download |