Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17791
Title: An active vision system integrating fast and slow processes
Authors: Castrillón-Santana, Modesto 
Guerra Artal, Cayetano Nicolás 
Hernández Sosa, José Daniel 
Domínguez-Brito, Antonio C. 
Isern González, José 
Cabrera Gámez, Jorge 
Hernández Tejera, Francisco Mario 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Motion controL
Real time systems
Robotics
System stability
Tracking (position)
Issue Date: 1998
Publisher: 0277-786X
Journal: Proceedings of SPIE - The International Society for Optical Engineering 
Abstract: This paper describes an Active Vision System whose design assumes a distinction between fast or reactive and slow or background processes. Fast processes need to operate in cycles with critical timeouts that may affect system stability. While slow processes, though necessary, do not compromise system stability if its execution is delayed. Based on this simple taxonomy, a control architecture has been proposed and a prototype implemented that is able to track people in real-time with a robotic head while trying to identify the target. In this system, the tracking module is considered as the reactive part of the system while person identification is considered a background task.
URI: http://hdl.handle.net/10553/17791
ISBN: 0-8194-2983-X
ISSN: 0277-786X
DOI: 10.1117/12.325794
Source: Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, 3522, p.487-496 (6 October 1998)
Appears in Collections:Actas de congresos
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