An intelligent and task-independent controller for video sequence analysis

Author

Bins, José ; List, Thor ; Fisher, Robert B. ; Tweed, David

Author_Institution

Edinburgh Univ., UK

fYear

2005

fDate

4-6 July 2005

Firstpage

172

Lastpage

177

Abstract

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.

Keywords

computer vision; decision theory; image sequences; intelligent control; learning (artificial intelligence); video signal processing; CAVIAR system; Clips; computer vision; decision module; image understanding; intelligent controller; learning techniques; rule-based system; task-independent controller; video sequence analysis; vision systems; Automatic control; Centralized control; Computational efficiency; Computer vision; Control systems; Image analysis; Image sequence analysis; Libraries; Machine vision; Video sequences; Computer Vision; Image Understanding; Intelligent controller; Video;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Architecture for Machine Perception, 2005. CAMP 2005. Proceedings. Seventh International Workshop on

Print_ISBN

0-7695-2255-6

Type

conf

DOI

10.1109/CAMP.2005.12

Filename

1508182