PEDESTRIAN TRAFFIC LIGHT RECOGNITION FOR THE VISUALLY IMPAIRED

Abstract

Biomedical Engineering: Applications, Basis and CommunicationsVol. 19, No. 05, pp. 289-294 (2007) No AccessPEDESTRIAN TRAFFIC LIGHT RECOGNITION FOR THE VISUALLY IMPAIREDShun-Hsien Tsao, Yu-Luen Chen, Jhe-Jyu Luh, Jin-Shin Lai, Te-Son Kuo and Han-Shuan WuShun-Hsien TsaoDepartment of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C. Search for more papers by this author , Yu-Luen ChenDepartment 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. Search for more papers by this author , Jhe-Jyu LuhSchool and Graduate Institute of Physical Therapy, National Taiwan University, Taiwan, R.O.C. Search for more papers by this author , Jin-Shin LaiDepartment of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taiwan, R.O.C. Search for more papers by this author , Te-Son KuoDepartment of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.Graduate Institute of Biomedical Engineering, National Taiwan University, Taiwan, R.O.C. Search for more papers by this author and Han-Shuan WuDepartment of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C. Search for more papers by this author https://doi.org/10.4015/S1016237207000380Cited by:0 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractIn 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:Electronic sensory systems for the visually impairedComputer visionDSPPortableTraffic light References N. Satoshi and O. Hirohiko, IEEE (1999). Google ScholarA. Bruno, IEEE Inst. & Mea Mag. (2003). Google Scholar Soedaet al., Eng. Med. Biol. Soc. (2004). Google Scholar Kaneko et al. , Development of the navigation system for the visually impaired , Biomed Eng, IEEE EMBS Asian-Pacific Conference ( 2003 ) . Google Scholar DM642 Video Integration Workshop . Google Scholar A Multichannel Motion Detection System Using eXpressDSP RF5 NVDK Adaptation . 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FiguresReferencesRelatedDetails Recommended Vol. 19, No. 05 Metrics History Accepted 22 October 2007 KeywordsElectronic sensory systems for the visually impairedComputer visionDSPPortableTraffic lightPDF download