A Study on Abandoned Object Detection Methods in Video Surveillance System

Abstract

Now a day, there is a need to do research in abandoned object detection due to increase in attack by terrorists or anti social elements at public places. The traditional way to observe the places or to track the places is the CCTV cameras which require a human operator to monitor the digital camera images. Although public areas are observed by many surveillance cameras, humans can monitor a few cameras at a time. In real world monitoring applications, abandoned object detection remains to be a challenging task due to factors such as background complexity, illumination variations, noise, and occlusions and “ghost” effect which is left by the removed object. As a fundamental first step in many computer vision applications such as object tracking, behavior understanding, object or event recognition, and automated video surveillance, various algorithms have been developed ranging from simple approaches to more sophisticated ones. In this paper, the study on the different methods proposed so far for detecting the abandoned object in the surveillance area is provided