Method and device for processing traffic sign symbols

A traffic sign and image processing technology, which is applied in the field of image processing, can solve the problems of uncertainty in the size of traffic signs, time-consuming and costly identification of traffic signs, etc., and achieve the effect of reducing human resources and time costs and improving efficiency

Active Publication Date: 2015-05-13
TSINGHUA UNIV +1
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Problems solved by technology

[0003] At present, in the detection and recognition of traffic signs based on street view panoramas, most of the traffic signs are recognized manually, which requires a lot of human resources and time costs.
Most of the existing methods for automatic recognition of traffic signs are based on color for area screening, and the sliding window method is used to identify and classify traffic signs in area images. For high-r

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  • Method and device for processing traffic sign symbols
  • Method and device for processing traffic sign symbols
  • Method and device for processing traffic sign symbols

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Embodiment Construction

[0021] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0022] The main idea of ​​the solution of the embodiment of the present invention is to use the contour feature, shape feature and color feature of the traffic sign to filter the candidate area, which can quickly exclude the non-traffic sign area in the image, and then further use HOG (Histogram of Gradient, Direction Gradient histogram) feature classifier distinguishes the indication content of traffic signs and realizes automatic recognition of various types of traffic signs.

[0023] When recognizing a traffic sign from an image, it usually includes two processes. The first process is to filter out the approximate location of the traffic sign, and the second process is to identify whether the corresponding image block is a traffic sign and the specifics of the traffic sign. content.

[0024] For the second process,...

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Abstract

The invention relates to a method and a device for processing traffic sign symbols; the method comprises the steps: acquiring obtained streetscape images; generating candidate windows of non-blue traffic sign symbols of the images and the candidate windows of blue traffic sign symbols; classifying and identifying the generated candidate windows by adopting a preset classifier; and judging whether the candidate windows have traffic signs and traffic sign types in the generated candidate windows according to the classification and identification result. According to the method and the device for processing the traffic sign symbols, the traffic signs can be identified rapidly in the images corresponding to complex scenes, the time-consumed sliding of the windows is avoided, the traffic sign identification efficiency is improved and the manpower resource and time cost are also reduced.

Description

Technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for processing traffic sign images. Background technique [0002] At present, with the development of science and technology and the continuous improvement of people's living standards, the number of various vehicles on highways is increasing day by day, which has brought great convenience to people's lives, and the problem of traffic accidents has become more and more serious. The factors that cause traffic accidents are driver misoperation, bad road conditions, and weather influences. According to statistics, 80% of traffic accidents are attributed to driver misoperation. In order to reduce the rate of traffic accidents, the road traffic sign recognition system TSR (Traffic Signs Recognition) came into being. The road traffic sign recognition system recognizes the traffic signs and feeds them back to the driver, so that the driver can understan...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V20/582G06V10/56G06F18/2411
Inventor 胡事民邓海峰黄浩智
Owner TSINGHUA UNIV
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