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An Effective Active Vision System for Gaze Control

Authors :
François Cabestaing
Luc Duvieubourg
Yann Ducrocq
Shahram Bahrami
Département Automatique
Ecole d'Ingénieurs du Pas-de-Calais
LAGIS-SI
Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS)
Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)
George Bebis et al.
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Ecole d'Ingénieurs du Pas-de-Calais (EIPC)
Source :
Advances in Visual Computing, 4th International Symposium on Advances in Visual Computing, ISVC'2008, 4th International Symposium on Advances in Visual Computing, ISVC'2008, Dec 2008, Las Vegas, United States. pp.267-277, ⟨10.1007/978-3-540-89646-3_26⟩, Lecture Notes in Computer Science book series (LNCS, volume 5359), Lecture Notes in Computer Science book series (LNCS, volume 5359), pp.267-277, 2008, ⟨10.1007/978-3-540-89646-3_26⟩, Advances in Visual Computing ISBN: 9783540896456, ISVC (2)
Publication Year :
2008
Publisher :
HAL CCSD, 2008.

Abstract

International audience; This paper presents the performances of an active vision system that mimic the human gaze control. A human can shift his gaze either by quickly moving his fixation point or by keeping a moving target in the fovea (high resolution). These two visual phenomena are called saccadic and smooth pursuit eye movements respectively. In order to mimic this human behavior, we have developed a novel active vision system based on a particular stereo-vision setup. It is composed with one camera, one prism and a set of mirrors. To point the field of view of the sensor at a target, the prism is rotated about its axis by a motorized stage. The system is designed for fast and accurate dynamical adjustments of gaze. To study the mechanical performances of our active vision system we have used three different but classical input signals. A step signal that simulates a change of target (saccadic eye movement), a velocity ramp and a sinusoidal signal that simulate a moving target (smooth pursuit). Whatever the input signal, the objective is to maintain the target in the middle of the image. The experiments demonstrate the efficiency of our vision sensor, in term of dynamical properties and measurement accuracy.

Details

Language :
English
ISBN :
978-3-540-89645-6
ISBNs :
9783540896456
Database :
OpenAIRE
Journal :
Advances in Visual Computing, 4th International Symposium on Advances in Visual Computing, ISVC'2008, 4th International Symposium on Advances in Visual Computing, ISVC'2008, Dec 2008, Las Vegas, United States. pp.267-277, ⟨10.1007/978-3-540-89646-3_26⟩, Lecture Notes in Computer Science book series (LNCS, volume 5359), Lecture Notes in Computer Science book series (LNCS, volume 5359), pp.267-277, 2008, ⟨10.1007/978-3-540-89646-3_26⟩, Advances in Visual Computing ISBN: 9783540896456, ISVC (2)
Accession number :
edsair.doi.dedup.....61c3474112de9cbeb004826a91376f1b