A traffic light recognition method based on optical filter
A recognition method and traffic light technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of complex calculation, offline learning of a large number of training samples, etc., to achieve the effect of improving accuracy
Active Publication Date: 2016-08-17
XI AN JIAOTONG UNIV
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This method has high accuracy and robustness, but requires a large number of training samples and a long time of offline learning, and the calculation is complex
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[0024] The following is a detailed description of the filter-based traffic light identification method of the present invention in conjunction with the accompanying drawings.
[0025] First, briefly describe the hardware modules adopted in the present invention, such as image 3 shown. According to the application requirements, select two suitable cameras, install a red filter and a green filter in front of the lens, and then fix the two cameras through the connecting piece. When installing, try to ensure that the optical axes of the two cameras are parallel to reduce the computational cost. the complexity. The two cameras collect images synchronously, transmit them to the DSP processing chip for analysis and judgment, and then output the final judgment result.
[0026] The implementation steps of the present invention are described in detail below:
[0027] The first step is to fix the two cameras.
[0028] According to actual needs, two suitable cameras and lenses are se...
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The invention provides a traffic light identification method based on optical filters. The method capable of identifying the traffic light signs in real environments fast and accurately is characterized in that one red optical filter and one green optical filter are respective disposed on two cameras, and the optical axes of the two cameras are allowed to be parallel; during traffic light identification, the communication areas in the collected traffic light image are extracted, and each communication area is used as the candidate area for traffic light identification; the pixel area range of the traffic light in the image, the position of the traffic light in the image, the duty ratio of the candidate areas and epipolar constraint are analyzed to judge the traffic light. Due to the fact the color optical filters can allow the light rays with special colors to pass and reflect other colors, by the red optical filter and the green optical filter mounted at the front end of the cameras, the influences of other colors can be filtered, complexity of image processing is simplified greatly, and the efficiency and robustness of traffic light identification are increased.
Description
technical field [0001] The invention belongs to the field of pattern recognition and artificial intelligence in computer vision, and is a method for improving the accuracy of traffic light recognition by using light filters to simplify the recognition algorithm on the basis of traditional image processing. Background technique [0002] In the field of computer vision, it is very common to use methods based on digital image processing to achieve target segmentation and pattern recognition in reality. In recent years, with the development of intelligent transportation technology, especially the research of unmanned vehicles, traffic light recognition in urban traffic environment has attracted more and more attention. [0003] 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...
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IPC IPC(8): G06K9/62G06K9/20
Inventor 杨海伟王飞张雪涛徐林海杨梓何永健
Owner XI AN JIAOTONG UNIV