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.
Another survey addressed the methods, systems and evaluation metrics for vision based human-activity recognition to detect abnormal behaviors in videos streams, a subset of activity recognition called surveillance systems REF .
Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Engineering Computer Science Medicine