An intelligent and task-independent controller for video sequence analysis

This paper describes a task-independent controller that allows for an easy implementation of vision systems for processing video sequences. The controller does not have a fixed dataflow or any fixed steps. The dataflow is constructed by the modules by describing themselves for the controller. During operation the modules and their parameters are selected using an independent decision module. This makes the system flexible and allows comparison of different learning techniques and decision strategies. The controller is being used by the CAVIAR system and its current decision module is a rule-based system written in Clips.