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Detecting and locating crosswalks using a camera phone

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3 Author(s)
Ivanchenko, V. ; Smith-Kettlewell Eye Res. Inst., San Francisco, CA ; Coughlan, J. ; Huiying Shen

Urban intersections are the most dangerous parts of a blind or visually impaired personpsilas travel. To address this problem, this paper describes the novel ldquoCrosswatchldquo system, which uses computer vision to provide information about the location and orientation of crosswalks to a blind or visually impaired pedestrian holding a camera cell phone. A prototype of the system runs on an off-the-shelf Nokia N95 camera phone in real time, which automatically takes a few images per second, analyzes each image in a fraction of a second and sounds an audio tone when it detects a crosswalk. Real-time performance on the cell phone, whose computational resources are limited compared to the type of desktop platform usually used in computer vision, is made possible by coding in Symbian C++. Tests with blind subjects demonstrate the feasibility of the system.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008