Detecting objects and obstacles for visually impaired individuals using visual saliency

Deville, Benoît (University of Geneva, Geneva, Switzerland) ; Bologna, Guido (University of Geneva, Geneva, Switzerland) ; Pun, Thierry (University of Geneva, Geneva, Switzerland)

In this demo, we present the detection module of the See ColOr (Seeing Colors with an Orchestra) mobility aid for visually impaired persons. This module points out areas that present either particular interest or potential threat. In order to detect object and obstacles, we propose a bottom-up approach based on visual saliency: objects that would attract the visual attention of a non-disabled individual are pointed out by the system as areas of interest for the user. The device uses a stereoscopic camera, a laptop, and standard headphones. Given the type of scene and/or scenario, specific feature maps are computed in order to indicate areas of interest in real-time. This demonstration shows that the module indicates objects and obstacles as accurately as a system using all available feature maps.


Note: BOLOGNA, Guido est chercheur à la HES-SO, HEPIA, depuis 20XX


Conference Type:
short paper
Faculty:
Ingénierie et Architecture
School:
HEPIA - Genève
Institute:
inIT - Institut d'Ingénierie Informatique et des Télécommunications
Publisher:
Orlando, FL, USA, 25-27 October 2010
Date:
2010-10
Orlando, FL, USA
25-27 October 2010
Pagination:
2 p.
Published in:
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility, 25-27 October 2010, Orlando, FL, USA
Numeration (vol. no.):
2010, pp. 253-254
DOI:
ISBN:
9781605588810
Appears in Collection:



 Record created 2020-06-12, last modified 2020-06-26

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