Abandoned Object Detection

Abstract

Abandoned object detection is practically useful areas of computer vision due to its application in automatic video surveillance systems for the detection of suspicious activities that might endanger public safety, especially in crowded places like airports, railway stations, shopping malls, movie theatres. An abandoned object is defined as one that has been lying stationary at a certain place with unattended by human for an extended period of time. Such objects are usually inconspicuous commonplace objects that people often carry around including backpacks, suitcases and boxes. The present work is try to make a flexible and modular framework that can be used to experiment with several different methods for each stage of the overall task of detecting abandoned and removed objects in a video stream. Many existing methods have been implemented for each of these stages and integrated into the system in a way that makes it possible to switch between them in real time. This enables the user to observe and compare the performance of different methods of solving the same problem.