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Pedestrian lane detection for assistive navigation of blind people

Conference Paper


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Abstract


  • Navigating safely in outdoor environments is a challenging activity for vision-impaired people. This paper is a step towards developing an assistive navigation system for the blind. We propose a robust method for detecting the pedestrian marked lanes at traffic junctions. The proposed method includes two stages: regions of interest (ROI) extraction and lane marker verification. The ROI extraction is performed by using colour and intensity information. A probabilistic framework employing multiple geometric cues is then used to verify the extracted ROI. The experimental results have shown that the proposed method is robust under challenging illumination conditions and obtains superior performance compared to the existing methods. © 2012 ICPR Org Committee.

Publication Date


  • 2012

Citation


  • Le, M., Phung, S. Lam. & Bouzerdoum, A. (2012). Pedestrian lane detection for assistive navigation of blind people. 21st International Conference on Pattern Recognition (ICPR 2012) (pp. 2594-2597). USA: IEEE.

Scopus Eid


  • 2-s2.0-84874569088

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1524&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/518

Has Global Citation Frequency


Start Page


  • 2594

End Page


  • 2597

Place Of Publication


  • USA

Abstract


  • Navigating safely in outdoor environments is a challenging activity for vision-impaired people. This paper is a step towards developing an assistive navigation system for the blind. We propose a robust method for detecting the pedestrian marked lanes at traffic junctions. The proposed method includes two stages: regions of interest (ROI) extraction and lane marker verification. The ROI extraction is performed by using colour and intensity information. A probabilistic framework employing multiple geometric cues is then used to verify the extracted ROI. The experimental results have shown that the proposed method is robust under challenging illumination conditions and obtains superior performance compared to the existing methods. © 2012 ICPR Org Committee.

Publication Date


  • 2012

Citation


  • Le, M., Phung, S. Lam. & Bouzerdoum, A. (2012). Pedestrian lane detection for assistive navigation of blind people. 21st International Conference on Pattern Recognition (ICPR 2012) (pp. 2594-2597). USA: IEEE.

Scopus Eid


  • 2-s2.0-84874569088

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1524&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/518

Has Global Citation Frequency


Start Page


  • 2594

End Page


  • 2597

Place Of Publication


  • USA