Survey and analysis of human activity recognition in surveillance videos

摘要

In computer vision, recognizing human activity or behavior is a core challenging problem. This article provides a crisp study of human activity recognition systems in the area of visual surveillance. These systems are used for analysis and understanding of the human behavior. The study starts with the description of various emerging video processing domains, followed by a general process of human action recognition. Then the article covers human detection techniques from images and video. Finally, article also provides a survey of different features and models used in activity recognition systems and an overview of benchmark dataset of video surveillance. From this state-of-the-art survey, researchers can outline promising directions of research.