Image analysis architectures and techniques for intelligent surveillance systems

Abstract

Video security is becoming more and more important today, as the number of installed cameras can attest. There are many challenging commercial applications to monitor people or vehicle traffic. The work reported here has both research and commercial motivations. Our goals are first to obtain an efficient intelligent system that can meet strong industrial surveillance system requirements and therefore be real-time, distributed, generic and robust. Our second goal is to have a development platform that allows researchers to conceive and easily test new vision algorithms thanks to its modularity and easy set-up. This paper focuses on the image analysis modules. It considers the different kind of inputs, algorithm models in addition to delay and the need of generality.