Title :
Real Time Traffic Light Recognition System for Color Vision Deficiencies
Author :
Kim, Youn K. ; Kim, Kyoung W. ; Yang, Xiaoli
Author_Institution :
Purdue Univ. Calumet, Hammond
Abstract :
Color blindness can be challenging as well as cumbersome for a person especially when driving a vehicle. In this paper, a real time traffic light recognition system based on computer vision will be described that improves the safety of drivers who are color-blind. The system consists of a digital video camera and a portable PC that helps the system to detect and track red, green, and yellow traffic lights. The paper will explain how the RGB component adjustment, thresholding algorithm, and median filter are used to recognize traffic lights. In order for the system to handle illumination changes by weather and time, a simple adaptation method has been developed. For future use, the portable system has been simplified since audio has been added to the current system, which helps to inform the traffic light the driver is color-blind.
Keywords :
adaptive signal processing; colour vision; computer vision; handicapped aids; image colour analysis; median filters; object recognition; traffic engineering computing; vision defects; RGB component adjustment; adaptation method; color blindness; color vision deficiencies; computer vision; digital video camera; driver safety; illumination changes; light detection; median filter; portable PC; portable system; real time traffic light recognition system; thresholding algorithm; Computer vision; Image color analysis; Image processing; Lenses; Machine vision; Optical receivers; Real time systems; USA Councils; Vehicle driving; Vision defects; Color blindness (Color Deficiency); Computer vision; Image Processing; Traffic light;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303519
