Title :
A new traffic light detection and recognition algorithm for electronic travel aid
Author :
Ying Jie ; Chen Xiaomin ; Gao Pengfei ; Xiong Zhonglong
Author_Institution :
Dept. of Meas. Technol. & Inf. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
A new traffic light detection and recognition algorithm for electronic travel aid was realized. Traffic lights were detected by rectangular and circular shapes extraction. Color distributions of the circular regions in HSI and RGB color space, combined with the position of the circular shape in the rectangle were used to recognize the traffic light. Gray level normalization, top hat transformation and image interception were used to reduce the disturbances of the environment. The average recognition rate is 97% and the speed is 0.086s per frame. Video analysis was used to improve the performance of the system.
Keywords :
feature extraction; image colour analysis; object detection; object recognition; shape recognition; traffic engineering computing; video signal processing; HSI color space; RGB color space; circular shapes extraction; color distributions; electronic travel aid; gray level normalization; image interception; rectangular shapes extraction; top hat transformation; traffic light detection; traffic light recognition algorithm; video analysis; Cameras; Conferences; Educational institutions; Image color analysis; Intelligent vehicles; Roads; Shape;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
DOI :
10.1109/ICICIP.2013.6568153
