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Traffic sign identification method and system based on SURF

A technology of traffic sign recognition and traffic sign, which is applied in the field of SURF-based traffic sign recognition method and system, can solve the problems of insufficient system robustness, expensive traffic sign recognition system dependence, low speed of traffic sign recognition, etc. Stickiness, reducing the number of search matching operations, and improving efficiency

Inactive Publication Date: 2014-01-29
GUANGDONG UNIV OF TECH +2
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AI Technical Summary

Problems solved by technology

[0003] The existing traffic sign recognition system has strong adaptability and high accuracy in low-light scenes, but there are still the following shortcomings: the system robustness is still not enough; the traffic sign recognition speed is low; the traffic sign recognition system relies on expensive hardware equipment

Method used

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  • Traffic sign identification method and system based on SURF
  • Traffic sign identification method and system based on SURF
  • Traffic sign identification method and system based on SURF

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Embodiment Construction

[0027] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only parts related to the present invention are shown in the drawings but not all content.

[0028] figure 1 It is an implementation flowchart of the SURF-based traffic sign recognition method provided in the first embodiment of the present invention, and the implementation process includes:

[0029] Step 101, extracting a traffic sign candidate area of ​​the image according to the tone value of the image, and acquiring the color of the traffic sign candidate area.

[0030] Because the traffic signs mainly have three distinguishing colors of red, yellow and blue, it is only necessary to extract the...

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Abstract

The invention relates to the technical field of image identification, in particular to a traffic sign identification method and system based on a SURF. The method includes the following steps that according to a hue value of an image, a traffic sign candidate zone of the image is abstracted and the color of the traffic sign candidate zone is obtained; the shape of the traffic sign candidate zone is detected and the type of a traffic sign is obtained according to the shape and the color of the traffic sign candidate zone; the SURF feature value of the traffic sign is abstracted and described; the SURF feature value matched with the traffic sign is searched for in a preset template feature vector quantity sub-library and the traffic sign in the image is identified. By means of the traffic sign identification method based on the SURF, the efficiency of identifying traffic signs is improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a SURF-based traffic sign recognition method and system. Background technique [0002] The traffic sign recognition system is an important part of the driving assistance system. It can automatically prompt the driver with information about traffic signs through the display, monitoring equipment or voice. The traffic sign recognition system can increase the driver's attention by reducing the driver's distraction. safety, thereby effectively reducing the number of traffic accidents, so it has attracted much attention. The existing traffic sign recognition methods include: HSI transformation is performed on the low-illuminance scene image containing traffic signs, the integral histogram of the low-illuminance scene image is calculated, and the area of ​​interest of the traffic sign is detected by threshold method and mathematical morphology method; The region of interest ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
Inventor 杨海东彭岳军杨淑爱
Owner GUANGDONG UNIV OF TECH
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