A Survey on Human Motion Detection and Surveillance
Sapana K. Mishra, K. S. Bhagat · 2015
Over years detecting human beings in a video scene of a surveillance system is one of the most active research topics in computer vision. This interest is driven by wide applications in many areas such as virtual reality, smart surveillance and perceptual interface, human gait characterization person counting in a dense crowd, person identification, gender classification, and fall detection for elderly people. Video surveillance system mainly deals with tracking and classification of moving objects. The general processing steps of human motion detection for video surveillance includes modeling of environments, detection of motion, object detection and classification human detection, activity recognition and behavior understanding. The aim of this paper is to review recent developments and analyze future open directions in visual surveillance systems.