首页> 外国专利> Method and system for recognizing vehicle number by using deep learning image recognition-based vehicle detection and tracking technology

Method and system for recognizing vehicle number by using deep learning image recognition-based vehicle detection and tracking technology

机译:使用基于深度学习图像识别的车辆检测和跟踪技术识别车辆号码的方法和系统

摘要

A vehicle number recognition method using a vehicle detection and tracking technology based on deep learning image recognition is disclosed. The vehicle number recognition method using the deep learning image recognition-based vehicle detection and tracking technology is a step of generating a plurality of image frames by a camera included in a vehicle license plate recognizer successively shooting a shooting area, the license plate recognizer is deep learning Detecting a vehicle in the plurality of image frames using an algorithm and generating a bounding box including the vehicle, wherein the license plate recognizer is t( t is a natural number greater than or equal to 4) performing an estimation operation of estimating the position and size of the bounding box in the (t+1)-th image frame using image frames including up to the (t+1)-th image frame, the license plate recognizer is the performing a similarity calculation operation of calculating a similarity between the bounding box generated in the (t+1)th image frame and the estimated bounding box, wherein the license plate recognizer determines the (t+1)th image frame according to the similarity performing a matching operation of matching the generated bounding box with the estimated bounding box with each other, the license plate recognizer determining whether a vehicle included in the matched bounding box arrives at an arbitrary location, and the matched bounding box When it is determined that the vehicle included in the bounding box arrives at an arbitrary position, the license plate recognizer performs a license plate region extraction operation of extracting the license plate region of the vehicle from the (t+1)-th image frame, and the extraction Recognizing the vehicle number in the license plate area, after the bounding box including the vehicle is generated, the license plate recognizer counts the number of bounding boxes generated in each of some image frames among the plurality of image frames When two or more bounding boxes are counted in each of the image frames of some of the plurality of image frames, the vehicle number recognition device performs the estimation operation, the similarity calculation operation, and the matching operation , some image frames among the plurality of image frames When only one bounding box is counted in each, the license plate recognition device determines the size of the bounding box in the first image frame among the some image frames and the size of the bounding box in the last image frame among the some image frames. Comparing the size of the bounding box, when the value of the comparison result is less than a certain threshold value, the license plate recognition device omits the estimation operation, the similarity calculation operation, and the matching operation, and the license plate of the vehicle performing a region extraction operation, and when the value of the comparison result is greater than the arbitrary threshold value, the vehicle number recognition apparatus performs the estimation operation, the similarity calculation operation, and the matching operation, and performing a license plate area extraction operation.
机译:公开了一种使用基于深度学习图像识别的车辆检测和跟踪技术的车辆号码识别方法。使用基于深度学习图像识别的车辆检测和跟踪技术的车辆号码识别方法是通过包括在车辆牌照识别器中的相机连续拍摄拍摄区域来生成多个图像帧的步骤,车牌识别器正在使用算法对多个图像帧中的车辆进行深度学习,并生成包括车辆的边界框,其中,车牌识别器是t(t是大于或等于4的自然数),执行估计操作,使用包括最多(t+1)个图像帧的图像帧估计(t+1)个图像帧中边界框的位置和大小,车牌识别器执行相似性计算操作,计算在(t+1)图像帧中生成的边界框和估计的边界框之间的相似性,其中,车牌识别器根据相似性确定第(t+1)个图像帧,执行匹配操作,将生成的边界框与估计的边界框相互匹配,车牌识别器确定包括在匹配边界框中的车辆是否到达任意位置,以及匹配的边界框,当确定边界框中包括的车辆到达任意位置时,车牌识别器执行车牌区域提取操作,从第(t+1)帧图像中提取车辆的车牌区域,并提取识别车牌区域中的车牌号,在生成包括车辆的边界框之后,车牌识别器统计在多个图像帧中的一些图像帧中的每个图像帧中生成的边界框的数量。当在多个图像帧中的一些图像帧的每个图像帧中统计两个或多个边界框时,车辆号码识别设备执行估计操作,相似性计算操作和匹配操作,以及多个图像帧中的一些图像帧。当每个图像帧中仅计数一个包围盒时,车牌识别设备确定一些图像帧中第一个图像帧中的包围盒的大小以及一些图像帧中最后一个图像帧中的包围盒的大小。比较包围盒的大小,当比较结果的值小于某个阈值时,车牌识别设备省略估计操作、相似度计算操作和匹配操作,并省略执行区域提取操作的车辆的车牌,当比较结果的值大于任意阈值时,车号识别设备执行估计操作、相似性计算操作和匹配操作,并执行车牌区域提取操作。

著录项

  • 公开/公告号KR102368122B1

    专利类型

  • 公开/公告日2022-02-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020210115468

  • 发明设计人 김진호;이홍기;이순기;

    申请日2021-08-31

  • 分类号G06T7/246;G06K9;G06N3/08;G06T7/11;G06T7/269;

  • 国家 KR

  • 入库时间 2022-08-24 23:50:29

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