Optimal Criteria Approach for Tracking Motion Detection in Video Surveillance Using Image Processing Techniques

Abstract

Security system like video surveillance or Close Circuit TeleVision installation in the premises is an essential component for monitoring, recollecting, and observing the events in its actual order for future reference and evidence to the proprietor hypothesis.  The process of identifying and tracking motion detection in video surveillance CCTV or any video source system is a tideous process due to its dynamic frame modifications in the image analysis approach.  The existing surveillance video motion detection approach methods lacks in the areas of hardware feasibility shortcomings, frame difference detection errors, back ground image analysis failures, unable to perform effective comparison and verification analysis.  The main issues of false alarms, ghost , incorrect and irrelevant data plays its substantial role in degrading the performance of motion detection in video surveillance system.  This research article proposes a image processing approach for handling motipn detection in video surveillance system using image processing techniqes.  In near future this research article focuses on the implementation of soft computing based motion detection in video surveillance with augmented reality system.