INTELLIGENT VIDEO SURVEILLANCE AND MONITORING SYSTEM

Abstract

"Traditional video surveillance is labour intensive and usually not very effective in continuous 24-hour monitoring. Video Surveillance with Computer Vision Algorithms, however saves on labour and provide a consistent monitoring quality.

The main aim of this project is to develop an Intelligent Video Surveillance and Monitoring system which is capable of analyzing the video image content by separating the foreground from the background, detecting and tracking the human movement as they move around an environment and monitoring of video surveillance. The monitoring of video surveillance provides an intelligent feedback by determine intruders in the perimeter. Hence alleviate the load on humans and to enable preventative acts when an anomaly is detected or the protected area had been breached into.

This report outlines the design and implementation of an Intelligent Video Surveillance and Monitoring system. In our system, we uses Statistical Algorithm under Bayesian framework to effectively separate the background from the foreground objects. Although there are many models available, it is important to understand the basic working principles of the algorithm to be use for this project. The blob detection tracks the image by using Growing Regions Algorithm. Based on the knowledge gain from the previous documentation and research, different processes or methods required to improve the existing security system could be drawn out. All these will help to contribute towards the Intelligent Video Surveillance and Monitoring system project. "