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

共 50 条

[21] Signage Recognition Framework for Visually Impaired People
Foong, Oi-Mean
Razali, Nurul Safwanah Bt Mohd
COMPUTER COMMUNICATION AND MANAGEMENT, 2011, 5 : 488 - 492
[22] An Enhanced Handwriting Recognition Tool for the Visually Impaired
Huzaimi, Muhammad Zikry
Ramli, Huda Adibah Mohd
Saidin, Norazlina
9TH INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING, ICOM 2024, 2024, : 1 - 6
[23] A Color Recognition System for the Visually Impaired People
Samara, Mohammed
AlSadah, Jihad
Driche, Mohamed
Osais, Yahya
2017 4TH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES AND APPLIED SCIENCES (ICETAS), 2017,
[24] Facial Expression Recognition System for Visually Impaired
Ashok, Aswathy
John, Jisha
INTERNATIONAL CONFERENCE ON INTELLIGENT DATA COMMUNICATION TECHNOLOGIES AND INTERNET OF THINGS, ICICI 2018, 2019, 26 : 244 - 250
[25] IMAGE RECOGNITION FOR VISUALLY IMPAIRED PEOPLE BY SOUND
Krishnan, K. Gopala
Porkodi, C. M.
Kanimozhi, K.
2013 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2013, : 943 - 946
[26] A novel Emotion Recognition Model for the Visually Impaired
Das, Soubhik
2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2019,
[27] Model of guidance for visually impaired persons in the traffic network
Perakovic, Dragan
Perisa, Marko
Remenar, Vladimir
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2015, 31 : 1 - 11
[28] Safe Trajectory Estimation at a Pedestrian Crossing to Assist Visually Impaired People
Alghamdi, Saleh
van Schyndel, Ron
Khalil, Ibrahim
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 5114 - 5117
[29] Sole Based Tactile Information Display for Visually Impaired Pedestrian Navigation
Kammoun, Slim
Bouhani, Wahiba
Jemni, Mohamed
8TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2015), 2015,
[30] Pedestrian Navigation System for Visually Impaired People Using HoloLens and RFID
Yamashita, Akihiro
Sato, Kei
Sato, Syunta
Matsubayashi, Katsushi
2017 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2017, : 130 - 135

← 1 2 3 4 5 →