A Survey of Core Technologies to Build an Intelligent Surveillance System

Abstract

Public Security is a great concern past few years in INDIA as well as the World due to terrorist activities. It has been found that to enhance security a network of cameras is being deployed across the prominent places in the world. Such a traditional approach is costly as well as totally depends on physical and mental status of the observer looking at the camera data. In the light of such weak security infrastructure we propose a method to develop an intelligent system which not only will capture and feedback the video at real time but also model human behavior. To develop an Intelligent System for detecting , Modeling , Classification of human behavior using image processing and machine vision to detect abnormal malicious intents. We have identified the necessary steps and modules to achieve our proposed system. In the light of the study we have anticipated various algorithms and provide a survey of work done in the fields of image processing and video processing. We have identified important and core technologies as Image segmentation, Background removal, Object classification, motion tracking and behavior analysis and have presented each technology with its recent developments.