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Method for identifying traffic sign

A traffic sign and content recognition technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as difficult training accuracy classifier models, improve segmentation results, improve stability, and reduce calculations Effect

Active Publication Date: 2013-10-23
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Description
  • Claims
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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.

Method used

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  • Method for identifying traffic sign
  • Method for identifying traffic sign

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Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0018] The invention is a method for recognizing traffic signs in the field of vehicle auxiliary driving or automatic driving. The present invention can acquire the position of the traffic sign from the image and identify the content of the traffic sign, and provide the acquired position and content information to the driver of the vehicle or the vehicle-mounted system to plan the driving path of the vehicle. The invention takes the image sensor installed above the vehicle as the source of information acquisition, and uses a method based on sliding windows to detect and recognize traffic signs. In the detection stage, firstly, the Gaussian mixture model based on double threshold is used for color pixel statistics, and the...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 汤淑明孙涛
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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