Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation

被引：50

作者：

Xu, Xin ^{[1
,2
]}

Tang, Jinshan ^{[1
]}

Zhang, Xiaolong ^{[1
,2
]}

Liu, Xiaoming ^{[1
]}

Zhang, Hong ^{[1
]}

Qiu, Yimin ^{[1
]}

机构：

[1] Wuhan Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430081, Hubei, Peoples R China

[2] Hubei Prov Key Lab Intelligent Informat Proc & Re, Wuhan 430065, Hubei, Peoples R China

来源：

SENSORS | 2013年 / 13卷 / 02期

关键词：

vision surveillance; activity recognition; surveillance system; performance evaluation; PERFORMANCE EVALUATION; OBJECT TRACKING; SURVEILLANCE; SCENES;

D O I：

10.3390/s130201635

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

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.

引用

页码：1635 / 1650

页数：16

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