A distributed vision system using streaming video interconnects /

I present a distributed vision system for testing and development of computer vision algorithms. The system's form follows a new approach to the construction of vision systems. Utilizing streaming video interconnects and distributed computer resources, the system provides researchers with sufficient processing power to run complex algorithms under real-time constraints. The system runs algorithms in a pipelined mariner, with data passed between functional units using streaming video protocols. DirectShow forms the basis for the system's processing block objects. Researchers can configure the system using functional units from a library of source, rendering, and transform processing blocks available on the system. To aid in configuring the system to the specifications of a given task, I have developed a system management tool that allows the user to configure the system via interaction with a web-based Java applet. This presents the user with a simple, object-oriented framework that is robust and easy to manage