Automatic Alert of Security Threat through Video Surveillance System

Close Circuit Television Camera (CCTV) has played very important role in many surveillance and security systems. However, such system requires continuous monitoring by human and hence there is possibility of failure because of boredom or fatigue. The requirements of continuous monitoring can be avoided using sensor systems which can alert the human on the occurrence of undesired event. Sensors only detect events and do not provide information about the threat. Hence use of CCTV camera and sensor systems, independently or jointly, may not be sufficient for timeliness detection of undesired events. When combined with humans and sensors, cameras can provide an immediate method to assess a scene of interest. The human efforts in monitoring can greatly reduced by using activity analysis of video captured by CCTV. By analyzing the captured video, information about the threat and cause can be obtained very quickly and accurately in order to take mitigating actions. However, in the absence of light, camera cannot detect such threat. Hence, some hybrid techniques need to be implemented, which can work in different lighting conditions. So our focus is to design a system that will detect threat in time under different lighting conditions using camera and sensor networks. The system will be aided with smart, measureable, reliable and robust algorithm for motion detection, tracking and activity analyses. This paper reviews different approaches for detecting object and its motion, tracking of object and activity analysis in order to prevent adverse consequences. It also proposes methodology to improve the security of Nuclear Power Plant using existing approaches with appropriate modification.