Traffic sign recognition with Color-based Method, shape-arc estimation and SVM

Abstract

Abstract-Traffic sign recognition is studied as one of the modern assistance in driving. The main purpose of it is to help driver on realizing traffic sign around the car by using computer vision enhanced to the car. In this paper, a combination method of Color-based Method and SVM is presented to do the traffic sign recognition. Color-based Method with CIELab + hue is chosen because it gives good result on localizing traffic signs. It is first used to preprocess the image to binary image. The binary image is then processed with canny to give more accurate result on detecting traffic signs. To get the traffic sign shape, the preprocessed image is checked by using Ramer-Douglas-Peucker algorithm, this algorithm will approximate each closed object shape in the preprocessed image. Detecting closed object make it unable to detect occluded and attached road signs. In order to detect occluded and attached signs, the proposed method will use two phase of detection by estimating the shape of the arc or later called the shape-arc algorithm. Approximated circle, square, or triangle images will be marked as traffic sign and processed in the recognition step with linear c-SVM. SVM classification will be based on binary images which gives 97% accuracy. The proposed method is more accurate than methods proposed by the reference papers and the detection is able to detect harder problems such as attached signs.Keywords-Color-based method, CIELab, traffic sign recognition, shape arc estimation, Ramer-Douglas-Peucker, binary image, SVM.

Signal processing - object detection methods with usage of optical correlator

“…The main colours that used for the traffic signs are a red, a blue and a yellow. With this in mind, the detection methods can be divided to three main parts: colour-based method, shapebased method and hybrid method which combine the different kinds of methods together [1][2][3][4][5].…”

“…Each step of the operation in VTSR system is very important to find the real traffic sign from the captured image [2,4,6].…”

“…This paper contains description of three detection methods: colourbased, shape-based and combination of both methods [1][2][3][4]7].…”

Detection and recognition of traffic signs inside the attentional visual field of drivers

“…Soendoro et al [33] performed color filtering using the CIELAB color space adjoined with hue, due to its efficiency on localizing traffic signs. According to [34] a color appearance model named CIECAM97 performs better than other color models such as CIELUV, CIELAB, and RGB.…”

Real time industrial application of single board computer based color detection system

“…Especially, color detection is used in studies on skin color detection [1,2 , 3], face recognition and detection [4,5,6], vehicle licence plate detection [7] and traffic sign detection [8].…”