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A Traffic Sign Detection Method Based on Visual Attention Mechanism and Geometric Features

A technology of visual attention mechanism and traffic signs, applied in the field of image processing, can solve problems such as poor real-time performance, and achieve the effect of increasing speed, reducing interference, and enhancing useful information

Active Publication Date: 2020-06-05
河北子量科技有限公司
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Problems solved by technology

[0007] To sum up, the existing technical problem is to perform threshold segmentation based on color RGB or HSV space, and then adopt methods such as polygon detection or edge-based curve fitting, which are easily affected by light, illumination angle and acquisition angle; using visual attention mechanism The method of detecting traffic signs has limitations and poor real-time performance

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  • A Traffic Sign Detection Method Based on Visual Attention Mechanism and Geometric Features

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Embodiment Construction

[0053] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0055] like figure 1 S...

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Abstract

The invention discloses a traffic sign detection method based on a visual attention mechanism and geometric features, and relates to the technical field of image processing; it includes image preprocessing, traffic sign rough detection based on a visual attention model, shape detection preprocessing, and geometric feature-based The detailed shape detection step; according to the characteristics of traffic signs, it organically combines the visual attention mechanism with the geometric features of traffic signs, improves the traditional visual attention mechanism, introduces the geometric feature constraints of traffic signs, eliminates interference, and realizes from vehicle Efficient and accurate extraction of traffic sign images from raw images captured by cameras.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a traffic sign detection method based on a visual attention mechanism and geometric features. Background technique [0002] Traffic sign recognition is an important part of intelligent transportation system ITS and unmanned driving research, and traffic sign detection is the basis of recognition. In order to distinguish the traffic sign from the background to the greatest extent and find it out effectively, the traffic sign is endowed with distinctive color and shape features. Therefore, in the existing research on traffic sign detection, most of them start with the color and shape of traffic signs. The basic idea is to perform color threshold segmentation on the collected images in RGB space or HVS space, and then use polygon detection or based on Edge curve fitting and other methods further detect shape features. This type of method has a small amount of calculation ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/582G06V10/44G06V10/50G06V10/462
Inventor 于平平郝芳芳王震洲
Owner 河北子量科技有限公司
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