Method for identifying traffic sign

Abstract

The invention discloses a method for identifying a traffic sign. The method comprises the following steps of: 1, generating a color segmentation model, a shape detection model and a content identification model required for identifying the traffic sign; 2, segmenting the original image by using a color segmentation template which corresponds to the color segmentation model, acquiring the segmented image, sliding on the original image by using a sliding window, judging whether a proportional relation of various colors in the window meets the preset conditions, determining that the traffic sign does not exist in the image if the preset conditions are not met, determining that the traffic sign exists in the image and calling the shape detection model if the preset conditions are met, determining that the traffic sign exists in the image if the detection result of the shape detection model meets the preset shape condition of the traffic sign, otherwise determining that the traffic sign does not exist in the image; and 3, calling a corresponding content identification model to judge the type of the traffic sign according to the color and shape information during detection for the image in which the traffic sign exists.

Description

technical field [0001] The invention relates to the technical field of vehicle auxiliary driving, in particular to a fast traffic sign recognition method for a real-time system. Background technique [0002] Traffic signs are facilities that convey information to road users in color, shape, characters, graphics, etc., and are used to manage traffic, and play an important role in traffic. But for drivers, it is not easy to accurately and timely detect and recognize traffic signs in high-speed vehicles, and often miss or misread traffic signs, resulting in wrong route selection or even accidents. In order to reduce the occurrence of the above situation, it is necessary to develop a traffic sign detection and recognition system to assist the driver, thereby improving the efficiency and safety of driving. [0003] Traffic sign detection refers to finding regions in an image that may contain traffic signs. According to the different detection principles, it is mainly divided in...

AI Technical Summary

Problems solved by technology

The advantage of this method is that it saves the calculation of extracting features, and the disadvantage is that it is difficult to train a classifier model with a high accuracy rate.

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