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Abstract

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.

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