Traffic-light rapid identification method based on bell format image

A recognition method and traffic light technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of offline learning and complex calculation of a large number of training samples, achieve fast and accurate positioning of candidate areas, reduce interference, and facilitate positioning of candidates area effect

Inactive Publication Date: 2017-08-04
XI AN JIAOTONG UNIV
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  • Abstract
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Problems solved by technology

The accuracy of this method is relatively high, but it requires a large number of training samples and a long time of offline learning, and the calculation is complex

Method used

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  • Traffic-light rapid identification method based on bell format image
  • Traffic-light rapid identification method based on bell format image
  • Traffic-light rapid identification method based on bell format image

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Embodiment Construction

[0043] The purpose of the present invention is to design a traffic light recognition algorithm based on Bell format images to quickly and accurately recognize the traffic light signs in the actual traffic environment.

[0044] At present, color image sensors (CMOS or CCD) can only collect one component of RGB color on each pixel. By using a color filter array, the pixels sprayed with red filter material only pass through red light, and the pixels sprayed with green filter material Pixels only transmit green light.

[0045] According to above-mentioned characteristics, the present invention proposes following technical scheme:

[0046] First, the hardware used in the present invention is briefly described. According to the application requirements, select the appropriate camera. The resolution of the camera should ensure the clarity of the images extracted by channels. The optical axis of the camera should be consistent with the direction of the vehicle body to reduce the comp...

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Abstract

The invention relates to a traffic-light rapid identification method based on a bell format image. In the invention, a bell format image characteristic is used; without difference value operation, an R channel image and a G channel image are directly extracted in the image; and after the image is processed, an area, a position, a duty ratio, a circular degree, a red and green channel gray scale ratio and other parameters are integrated so as to determine whether a traffic light exists and a current state of the traffic light. In the invention, different color channels are used to process the image, an interference among the different color channels is reduced and high robustness is possessed; and there are no complex pattern identification algorithm and mathematic operation and high real-time performance is possessed.

Description

[0001] 【Technical field】 [0002] The invention belongs to the field of pattern recognition and artificial intelligence of computer vision, relates to a method for image recognition and target information extraction, in particular to a fast traffic light recognition method based on a Bell format image. [0003] 【Background technique】 [0004] Using digital image processing methods to achieve target segmentation and pattern recognition is a very common application in the field of computer vision. In recent years, the research and development of driverless vehicles has prompted increasing attention to the problem of traffic light recognition in urban traffic environments. [0005] The existing traffic light recognition methods generally start from the color images collected by the camera, use appropriate image processing algorithms to extract specific features in the image, and then realize the recognition of traffic lights. There are currently two commonly used identification m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/584
Inventor 王飞齐峰张秋光王乐郑南宁
Owner XI AN JIAOTONG UNIV
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