A Survey on Detection of Illegally Parked Vehicle in No Parking Area

Abstract

Nowadays with the increase use of vehicles traffic management becomes hectic problem. People dont find parking space easily and encouraged to do parking in no parking area. Due to vehicle parked on the busy traffic road, other vehicles may hit the car and cause the potential accidents which may create a public safety problem. The detection of illegally parked vehicles is an important part of any traffic management and video surveillance application. Camera Surveillance system becomes cheaper and due to this human activity or behavior detection and tracking also becomes more practical. So, many automated systems have been designed for number of detection tasks, but the unauthorized or illegally parked vehicle detection is still done by the human operators of such surveillance system. From the literature review different methods are identified such as background subtraction, frame differencing method, Single Shot Multibox Detector based on Deep learning, Scalable Histogram of oriented Gradient, Mixture of Gaussian modeling used to detect and track object from captured video sequence. Background subtraction method gives us better and accurate result for moving vehicles detection. Detecting an illegally parked vehicle in no parking area becomes more complex task due to illumination changes and sudden weather change condition. The goal of this paper is to analyze and review the previous approaches towards detecting illegally parked vehicle in no parking area using video sequences.