Novel approach for real time detection and classification based on template matching in video

In this paper, we present a new approach for the detection and classification of real time road signs from video. The proposed system is composed of two processing stages: detection and classification signs. The system has detected road signs by color and shape feature of segmentation color in HSV color space, especially red and blue. The detected signs are then classified by method template matching, such as circular, squared and triangular shapes. The road signs are classified in one of the following categories by Combining color and information about shape: danger, obligation, prohibition or information. As proposed system input is a video with a resolution of 1360?800 pixels. For detection phase road signs, has a high detection performance up to 92 % and for classification is rated 96% in our experiments. The proposed system also proves to be reliable and suitable for real-time processing.