NDLI: A visual attention focusing system using an active stereoscopic vision sensor

Content Provider	IEEE Xplore Digital Library
Author	Ducrocq, Y. Bahrami, S. Duvieubourg, L. Cabestaing, F.
Copyright Year	2010
Description	Author affiliation: École d'Ingénieurs du Pas-de-Calais, Département Automatique, Campus de la Malassise, 62967 Longuenesse Cedex - FRANCE (Ducrocq, Y.; Bahrami, S.) \|\| Laboratoire LAGIS - UMR CNRS 8146, Université des Sciences et Technologies de Lille, Cité Scientifique, Bâtiment P2, 59655 Villeneuve d'Ascq - FRANCE (Duvieubourg, L.; Cabestaing, F.)
Abstract	Humans have the capacity to move their eyes. Thanks to this capacity, they can orient their gaze to look at a relevant object inside a complex scene. In this paper, we have implemented a driver assistance application which tries to mimic this human capacity. We focus specially on highway driving situations, where the detection of obstacles must be done far away in front of the car. The implementation of the gaze control and orientation is obtained by an active vision system. We know that the human gaze is related to the visual attention which is a result of human perception and cognitive phenomenon. Several studies have shown that human perception and more specially the visual perception can be decomposed into a bottom-up process and a top-down process. Most of researches focused on the bottom-up process. In this work, in order to mimic the human behavior or at least improve vision systems, we use a new active stereovision setup and a model of the human visual perception based on the two previous approaches. Moreover, in a bottom-up approach, we add the depth information obtained with the stereoscopic sensor to the classical features used by other works. The top-down process is computed by the global knowledge of the scene and its features. Some results obtained by mean of a virtual road sequence, show the orientation of the field of view of the stereoscopic sensor toward relevant objects, given our criteria.
Starting Page	511
Ending Page	516
File Size	720385
Page Count	6
File Format	PDF
ISBN	9781424472475
ISSN	2154512X
e-ISBN	9781424472499
DOI	10.1109/IPTA.2010.5586790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	visual attention Visualization Roads Computational modeling Machine vision Biological system modeling Humans active vision saliency orientable field of view Stereoscopic catadioptric sensor Driver circuits
Content Type	Text
Resource Type	Article

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