Exploring techniques for vision based human activity recognition: methods, systems, and evaluation.
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 activity, 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 towards the performance of human activity recognition.
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China. xuxin0336@gmail.com
Xin
X
Xu
Jinshan
J
Tang
Xiaolong
X
Zhang
Xiaoming
X
Liu
Hong
H
Zhang
Yimin
Y
Qiu
D003299:Cooperative Behavior; D006802:Human Activities; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D014785:Vision, Ocular / Q000502:physiology*