A seamless modular image analysis architecture for 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 imagine and easily test new vision algorithms thanks to its modularity and easy setup. Previous papers [4,7] dealt with the core architecture for handling such problems as heterogeneous inputs, encoding, distribution, and storage. This paper will focus more precisely on the image analysis modules. We will consider the different kind of inputs, algorithm models as well as optimisation of memory, delay and genericity needs.

Efficient Video Surveillance: Performance Evaluation in Distributed Video Surveillance Systems

“…The system intelligence applications operations are scenario-specific, dependent on data context and their efficiency relies on configuration efforts. (Desurmont et al, 2004) reviews the challenges of video content analysis deployment, (Ashani, 2009) evaluates the deployment cases of video content analysis for urban environment applications, (Finn, 2004) addresses the problems related to intelligent surveillance in public transport, and (Lipton et al, 2004) presents video content analysis tools deployment for forensics application. Despite of the fact the video content analysis is well popularized and widely researched, the deployment of the video analytics is considered as one of the most risky areas in surveillance business.…”

Real-time control of video surveillance systems with program supervision techniques

“…A first class of approaches proposes to ease the construction of video surveillance systems by providing modular software architectures to the system developers or video processing experts [9]. These architectures enable to manually control video processing programs using a control module to create a system for a particular application.…”