Investigation on tracking system for real time video surveillance applications

Abstract

Real time video surveillance is an interdisciplinary task that has perceived reasonable attention safety and security purpose. Such video surveillance task is challenging task which involves detection of one or more moving objects from a video sequence. Though there has been several analysis made on different perspectives of video surveillance, there are many issues left open for investigation namely segmentation of moving objects, foreground and background detection, preprocessing, feature extraction and so on. This paper presents some in depth study on the challenges and issues in many real time video surveillance applications, highlighting the need for an improved video tracking algorithms for effective design of video surveillance systems. In addition the paper focuses on to provide a new proposal in three fold ways, there by producing a refined approach as compared to previous techniques for real time video surveillance. The proposed system is experimented over the synthetic data set and also tested under commercial data repository, which leads to results that were promising.