PEDESTRIAN TRAFFIC LIGHT RECOGNITION FOR THE VISUALLY IMPAIRED

被引：1

作者：

Tsao, Shun-Hsien ^{[1
]}

Chen, Yu-Luen ^{[2
]}

Luh, Jhe-Jyu ^{[3
]}

Lai, Jin-Shin ^{[5
]}

Kuo, Te-Son ^{[1
,4
]}

Wu, Han-Shuan ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Elect Engn, Taipei, Taiwan

[2] Natl Taipei Univ Educ, Dept Comp Sci, Taipei, Taiwan

[3] Natl Taiwan Univ, Sch & Grad Inst Phys Therapy, Taipei, Taiwan

[4] Natl Taiwan Univ, Grad Inst Biomed Engn, Taipei, Taiwan

[5] Natl Taiwan Univ Hosp, Dept Phys Med & Rehabil, Taipei, Taiwan

来源：

BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS | 2007年 / 19卷 / 05期

关键词：

Electronic sensory systems for the visually impaired; Computer vision; DSP; Portable; Traffic light;

D O I：

10.4015/S1016237207000380

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：289 / 294

页数：6

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