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PEDESTRIAN TRAFFIC LIGHT RECOGNITION FOR THE VISUALLY IMPAIRED

Shun-Hsien Tsao

Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.

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Yu-Luen Chen

Department of Computer Science, National Taipei University of Education, Taipei, Taiwan, R.O.C.

Corresponding author: Dr Yu-luen Chen, Department of Computer Science, National Taipei University of Education Taiwan.

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Jhe-Jyu Luh

School and Graduate Institute of Physical Therapy, National Taiwan University, Taiwan, R.O.C.

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Jin-Shin Lai

Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taiwan, R.O.C.

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Te-Son Kuo

Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.

Graduate Institute of Biomedical Engineering, National Taiwan University, Taiwan, R.O.C.

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, and

Han-Shuan Wu

Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.

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https://doi.org/10.4015/S1016237207000380Cited by:0 (Source: Crossref)

Abstract

In this research, we employ the technology of computer vision to recognize traffic light. We manipulate the color information of traffic light under HSI color space. And then, adding motor tracking technology, we can trap the traffic light which is subjected to a region of interest (ROI) to the center area of monitor. Meanwhile, we assign different frequency (peach) according to red light or green light to inform the people what state the light is.

We develop the algorithm at PC with MATLAB. Then, we port the whole system to DSP platform TI TMS320 DM642 EVM. The result is that in the condition of non-complex environment, the system can distinguish the red light from green light, and also can output audio signal by means of speaker.

Keywords:

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