Description: 摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包括
灰度变换、中值滤波、边缘检测和二值化；车牌定位包括车牌水平定位、车牌垂
直定位、颜色判断和细定位。
该定位系统是在C++Builder环境下实现的，针对不同大小车牌、不同光照条件
的1400张图片进行测试，其定位率可以达到92 以上；同时也将该算法封装成DLL
库，应用在雷达测试仪中，对各种光照条件下的视频流进行测试。测试结果证明
本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性
的要求，具有一定的应用价值。
关键词：车牌定位Run Length Tamura纹理-Abstract
As an important application form of target automatic recognition, vehicle license
plate recognition( LPR) technology is used in some fields, such as electron charging,
pass controlling and automobile stream supervising etc.
The paper introduces license plate location system based on the principle of Run
Length and Tamura texture feature. The system is developed based on video streams,
mainly includes vehicle motion region detection, license plate image processing, vehicle
license plate location. The detection of vehicle motion region uses the background
estimation methods based on the average of multi-frame license plate image processing
includes gray-scale transformation, median filtering, edge detection and binarization
the license plate location includes license plate horizontal location, license plate vertical
position, color judgments and accurate location.
The system is achieved in the C++ Builder environment, and it uses 1400 images
that are of different Platform: |
Size: 2509824 |
Author:王述 |
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Description: 这是个基于DM6446的视频运动车辆检测系统的文件-This is a vehicle based on DM6446 video motion detection system files Platform: |
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Author:高月春 |
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Description: 一个用cmu开发的车辆检测和跟踪的程序，本程序实现了背景建模，运动检测，跟踪，以及车辆和行人标注的功能。-Cmu development of a vehicle with detection and tracking procedures, the procedures to achieve the background modeling, motion detection, tracking, and vehicle and pedestrian marking function. Platform: |
Size: 1413120 |
Author: |
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Description: 研究了自然环境下的运动车辆的检测技术。讨论了各种车流量检测的算法，提出了可对存在渐变及重复性运动的场景进行建模的车流量检测算法，利用基于混合高斯背景建模方法，对背景进行更新，然后再利用所得的背景与当前视频帧进行相减，得到视频中车辆运动的前景图像，经过平滑去噪处理得到较为理想的车辆检测效果。-This paper studies the natural environment of moving vehicles in the testing technology Discussed the algorithm of vehicle detection all kinds of sports, Put forward the existing and repeatability of gradual change of scene modeling movement vehicle detection algorithm is proposed, Based on gauss background modeling method, Update to the background, Then reuse the background and the current income video frame subtracting on, Get the car in the prospect of motion video images, To deal with the noise through smooth get more ideal vehicle detection effect. Platform: |
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Author:jinyan |
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Description: 超速行驶是引起交通事故的主要原因之一，雷达测速仪是检测车辆超速行驶的有效方式之一。本代码用Matlab仿真实现多普勒雷达测速，在MATLAB仿真软件中对被检测车辆运动产生的多普勒频率进行频谱分析。-Speeding is one of the main causes a traffic accident, the radar gun is one effective way to detect speeding vehicles. The code using Matlab simulation Doppler radar gun, the vehicle motion is detected Doppler frequency spectrum analysis in MATLAB simulation software. Platform: |
Size: 1024 |
Author:韩晶晶 |
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Description: 本资源是一些光流法相关资料的整合，适合初学光流法的学者们借鉴学习！
智能交通系统运动车辆的光流法检测.caj
基于改进的Lucas_Kanade光流估算模型的运动目标检测.caj
改进的光流法用于车辆识别与跟踪.caj
-The resources are some of the optical flow information integration, optical flow method suitable for beginners to learn from scholars! Intelligent Transportation Systems optical flow motion of the vehicle detected. Caj Lucas_Kanade optical flow based on improved estimation model of moving target detection. Caj improved optical flow method for vehicle identification and tracking. Caj Platform: |
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Author: |
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Description: 运动车辆的检测与跟踪，有源码，可以联系我进行交流-Motion of vehicle detection and tracking, source code, can contact me to communicate Platform: |
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Author:李丹丹 |
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Description: 在道路交通管理中，为了获得车辆的运动数据，早期经常采用的是感应线圈等硬件测量的方法。而如果采用摄像头拍摄的道路视频，再用计算机软件处理的方法，则可以极大的增加方便性和灵活性。本文运动目标检测与跟踪研究如何让计算机从视频图像序列中获得物体运动数据。-Traffic management in order to obtain motion data of the vehicle, is a method often used early induction coil measurement hardware. If using a video camera to shoot on the road, and then deal with methods of computer software, you can greatly increase the convenience and flexibility. This paper studies the moving target detection and tracking moving objects how to get data from a computer video image sequence. Platform: |
Size: 6200320 |
Author:瑞达恩 |
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Description: 基于opencv的混合高斯背景建模，可对视频中车辆进行运动检测-Gaussian mixture background modeling, can be a vehicle for video motion detection Platform: |
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Author:血槽 |
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Description: 基于特征的视觉里程计系统主要由特征检测与跟踪模块以及位姿计算模块两部分组成.为分析车载视觉里程计系统中引入车辆运动学约束的位姿计算算法性能,根据摄像机成像及视觉几何学原理,采用Matlab结合车辆动力学仿真软件CarSim建立车载视觉里程计仿真平台.该仿真平台由车辆运动仿真模块、成像仿真模块、数据显示与分析模块组成,仿真平台的测试对象为视觉里程计的位姿估计算法模块.该仿真平台充分考虑车载视觉定位系统的运动特性,为研究车辆运动学约束在视觉里程计系统中的应用提供新的思路和工具.对提出的一种全新的基于车辆运动学约束的位姿估计内层算法,在此仿真平台上进行性能验证.仿真结果表明,该算法在计算精度与效率上都能够满足实时车载视觉定位的要求.-Mainly by the feature detection and tracking module and pose calculation module composed of two parts based on visual odometry system features. In order to analyze the visual odometry system onboard the vehicle kinematic constraints introduced pose calculation algorithm performance, according to the camera image and visual geometry principle, combined with the use of vehicle dynamics simulation software Matlab CarSim establish visual odometry vehicle simulation platform. The simulation platform by the vehicle motion simulation module, imaging simulation module, the data shows the composition and analysis module, the test object simulation platform for visual odometry bit Pose estimation module. The simulation platform fully into account the motion characteristics of automotive vision positioning system, vehicle kinematic constraints apply to study in visual odometry system to provide new ideas and tools for a new vehicle based on the kinematics proposed inner constraints pose estimatio Platform: |
Size: 1504256 |
Author:zzz |
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Description: 使用bp神经网络算法来进行车辆的识别检测，通过使用该方法，可以在简单背景下检测出运动的车辆-Use bp neural network algorithm to detect vehicle identification, by using this method, the motion of the vehicle can be detected in a simple background Platform: |
Size: 1399808 |
Author:sun |
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Search - vehicle motion detection