視障者人行交通號誌辨識輔具之研發

Pedestrian Traffic Light Recognition for the Visually Impaired

曹舜賢(Shen-Hsien Tsao)

指導教授 ： 郭德盛

共同指導教授 ： 陳友倫

國立臺灣大學/電機資訊學院/電機工程學研究所/碩士(2007年)

https://doi.org/10.6342/NTU.2007.02595

摘要

本研究是利用電腦視覺的技術辨識紅綠燈。將紅綠燈號顏色的彩色資訊在色相、飽和度與強度(Hue, Saturation, Intensity, HIS)色彩空間下做處理，判斷出紅綠燈號，分別給予紅燈2000Hz與綠燈1000Hz的聲音輸出來告知使用者現在的燈號，並且加入影像追蹤的技術，將畫面中感興趣的區域鎖定在畫面中央。
本研究可分為兩個部分，首先使用個人電腦以MATLAB軟體開發辨識紅綠燈號演算法，並且做單張數位影像的驗證，然後移植演算法到德州儀器公司產品型號TMS320 DM642 模擬評估版上開發整套系統。並且分別在白天、晚上以及雨天進行實地測試，研究結果顯示，在背景環境不過於複雜情況之下，辨別紅綠燈號，並且可以由喇叭聽到相對應的頻率聲音。

關鍵字

視覺障礙輔具 ； 電腦視覺 ； 數位訊號處理 ； 交通號誌辨識

並列摘要

In this research, we employed the technology of computer vision to recognize traffic light. We manipulated the color information of traffic light under HSI color space. And then, adding motor tracking technology, we can trap the traffic light which is subjecting to region of interesting (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 color the light is.
We developed the algorithm at PC via MATLAB with powerful image process toolbox. Then, we ported the whole system to DSP platform made by Texas Instrument, 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 or headphone.

並列關鍵字

Electronic Sensory Systems for the Visually Impaired ； computer vision ； DSP ； traffic light recognition

參考文獻

[25] Yun-Chung Chung, Jung-Ming Wang, Sei-Wang Chen, “A Vision-Based Traffic Light Detection System at Intersections,” Journal of Taiwan Normal University: Mathematics, Science & Technology, 47(1), 67-86, 2002.

[3] 蘇文建，以彩色影像追蹤動作應用於居家復健，國立台灣大學電機工程學研究所碩士論文，2006。

[6] Satoshi Niikura, Hirohiko Ohkubo, “An Audible Pedestrian Signals System using Infra-Red Beacon,” IEEE, 1999.

[7] Bruno Ando, “Electronic Sensory Systems for the Visually Impaired”, IEEE Instrumentation & Measurement Magazine, 2003.

[8] Soeda, Aoki, Yanashima, Magatani, “Development of the visually impaired person guidance system using GPS,” Engineering in Medicine and Biology Society, 2004.