Multiple View Surveillance using Image Registration

Abstract

In the area of activity monitoring, video surveillance was mainly used for monitoring the scene by security personnel. However, due to high increase of unethical activities it is being strongly considered as a must for vigilance authorities, even sometimes for some unique purposes such as exam surveillance. The main theme is to ensure that students take their examinations the right way instead of indulging in unfair methods or malpractices. The proposed system aims to detect suspicious activities which occur in the classroom, thereby ruling out copying. We aim to develop a system that will identify the students from the top view camera using the image registration technique and check to see if he/she indulges in any form of malpractices or suspicious activities during the entire course of an examination. To get the aimed results the whole system has been divided into two modules through which the suspicious activities are classified from the normal activities. The first one includes the image registration technique which is used as a novel approach to determine the position of the student from the top view camera. The second module proposes the usage of object detection and skin detection. Finally we compare the normal frames and the suspicious frames based on their respective threshold values which are generated using the threshold technique. Also the accuracy of the system is checked using SVM classification. 1.