Title :
Robust Automatic Traffic Signs Detection using fast polygonal approximation of digital curves
Author :
Salhi, Ali ; Minaoui, Brahim ; Fakir, Mohamed
Author_Institution :
Inf. Process. & Decision Lab., Sultan Moulay Slimane Univ., Beni Mallal, Morocco
Abstract :
Traffic Sign Recognition is nowadays widely used in the automobile industry, it provides a good solution for driver assistance systems, it can alert the driver and control or prohibit certain actions, and this can significantly increase driving safety and comfort. This paper presents a study to design, implement and test a method of detecting traffic signs, based on computer vision. The system implemented in this work contains two main modules: the first is the preprocessing module which is based on image processing features such as color segmentation, threshold technique, Gaussian filter, canny edge detection, and contours detection. The second is the detection module based on Polygonal Approximation of digital curves technic applied on contours to identify areas of the scene may contain traffic signs.. The development of the system is performed using the programming language C/C++ with the OpenCV library. The tests are performed on a set of real images of traffic with a complex background, to show the performance of the system being developed.
Keywords :
approximation theory; driver information systems; edge detection; image colour analysis; image segmentation; object detection; C/C++ programming language; Gaussian filter; OpenCV library; canny edge detection; color segmentation; computer vision; contours detection; digital curves; driver assistance systems; fast polygonal approximation; image processing; robust automatic traffic signs detection; threshold technique; traffic sign recognition; Benchmark testing; Context; Shape; Vehicles; Polygonal Approximation; Traffic sign; detection; image processing;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
DOI :
10.1109/ICMCS.2014.6911185