Title :
A PSO-Based Method for Traffic Stop-Sign Detection
Author :
Zhang, Hang ; Luo, Dayong
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
Abstract :
This paper developed a new technology for the detection of traffic stop-sign from a motion picture captured by a CCD camera in a car. Firstly original image was segmented in YCbCr color model by the threshold of characteristic color of traffic stop-sign. Then a new fitness function was presented, which considering of the symmetry of traffic stop-sign. In the process of template matching, a modified particle swarm optimizers (PSO) and the proposed fitness function were employed to detect the position and size of traffic stop-sign in real-time. The results of experiments show a superior performance compared to the previous approach either in detection speed or the detection rate
Keywords :
automobiles; image colour analysis; image matching; image motion analysis; image segmentation; object detection; particle swarm optimisation; road traffic; traffic engineering computing; CCD camera; YCbCr color model; car; color threshold; fitness function; image segmentation; motion picture; particle swarm optimization; template matching; traffic stop-sign detection; Charge coupled devices; Charge-coupled image sensors; Image segmentation; Information science; Intelligent control; Motion detection; Motion pictures; Paper technology; Particle swarm optimization; Traffic control; PSO; color segmentation; template matching; traffic sign detection;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713664
