Detecting and Locating Crosswalks Using a Camera Phone
Abstract
Urban intersections are the most dangerous parts of a blind or visually impaired person's travel. To address this problem, this paper describes the novel "Crosswatch" 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.
Cite
Text
Ivanchenko et al. "Detecting and Locating Crosswalks Using a Camera Phone." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563143Markdown
[Ivanchenko et al. "Detecting and Locating Crosswalks Using a Camera Phone." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/ivanchenko2008cvprw-detecting/) doi:10.1109/CVPRW.2008.4563143BibTeX
@inproceedings{ivanchenko2008cvprw-detecting,
title = {{Detecting and Locating Crosswalks Using a Camera Phone}},
author = {Ivanchenko, Volodymyr and Coughlan, James M. and Shen, Huiying},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2008},
pages = {1-8},
doi = {10.1109/CVPRW.2008.4563143},
url = {https://mlanthology.org/cvprw/2008/ivanchenko2008cvprw-detecting/}
}