Supporting Pedestrians with Visual Impairment During Road Crossing: A Mobile Application for Traffic Lights Detection

Many traffic lights are still not equipped with acoustic signals. It is possible to recognize the traffic light color from a mobile device, but this requires a technique that is stable under different illumination conditions. This contribution presents TL-recognizer, an application that recognizes traffic lights from a mobile device camera. The proposed solution includes a robust setup for image capture as well as an image processing technique. Experimental results give evidence that the proposed solution is practical.

[1]  James M. Coughlan,et al.  Real-Time Walk Light Detection with a Mobile Phone , 2010, ICCHP.

[2]  Xiaoyi Jiang,et al.  Recognition of Traffic Lights in Live Video Streams on Mobile Devices , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Alessandro Rizzi,et al.  Robust traffic lights detection on mobile devices for pedestrians with visual impairment , 2016, Comput. Vis. Image Underst..

[4]  Keiichi Abe,et al.  Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..

[5]  Y.K. Kim,et al.  Real Time Traffic Light Recognition System for Color Vision Deficiencies , 2007, 2007 International Conference on Mechatronics and Automation.

[6]  J. P. Lewis Fast Normalized Cross-Correlation , 2010 .