Smart Video Surveillance System in Banks

Abstract

This review paper represents an aristocratic approach for acute video surveillance system and human activities automatic recognition from video sequences and has an embellish presence in every sphere of life. This paper is reviewed about video monitoring systems with its uses and kinds of video superintendence techniques. But we have mainly concentrated on acute video surveillance technique based on summarization because it provides behavioral analysis capabilities based on any videos. Also, it reduces the search time of conversion of content based video improvement problem to content based image improvement problem. We have also made acquainted with a chronicle study of acute video surveillance systems in banks, which helps find fraudsters and the pedestrian recognition system. Video analytics technology (IVS) is used in a surveillance system to analyze a video frame or a group of video frames to detect, classify, recognize or identify a predetermined event that has been programmed through the software. It uses mathematical algorithms to detect moving objects in an image and filter non-relevant movements. It then creates a database that records the attributes of all the objects detected and their movement. This infrastructure helps to reduce wiring costs and the bandwidth required in the video surveillance network. In short, video analytics technology will enable users to manage a vast mass of undifferentiated data that they may receive from different cameras and turn it into useful information. This will turn their cameras into predictive tools that will allow them to spot problems brewing and prevent incidents providently, rather than just filming the events for later investigative use.