搜索资源列表
CarShapeIdentify
- 车型识别系统，步骤为1.首先单击载入图像菜单项（载入背景和前景图像）,图像在image文件夹下面。 2.然后单击车辆提取菜单项，依次进行图像做差、二值化、开运算、图像去噪、图像填充处理。 3.再单击轮廓提取菜单项，提取车辆轮廓。 4.最后单击车型识别菜单项，对车辆进行识别。 -Vehicle identification system, step 1. First Click Load Image menu item (loading background and foregro
dahf
- 车辆检测识别，主要介绍了车辆在静态环境下进行识别检测，画出车辆的位置。-Vehicle detection and recognition, mainly introduced the vehicle in a static environment identification testing, draw the position of the vehicle.
detect_opencv
- 车辆检测识别，主要介绍了车辆在静态环境下进行识别检测，画出车辆的位置。-Vehicle detection and recognition, mainly introduced the vehicle in a static environment identification testing, draw the position of the vehicle.
gaussian
- 运用高斯混合模型，识别车辆，分割车辆，检测车流量，运算很快，效果不错-Using the gaussian mixture model, identification of vehicles, vehicle segmentation, detection and traffic operation soon, effect is good
chepaishibieCPP
- 一、车型识别 1.首先单击车型识别菜单下的载入图像菜单项（载入背景和前景图像）。 2.然后单击车辆提取菜单项，依次进行图像做差、二值化、开运算、图像去噪、图像填充处理，轮廓提取。 3.最后单击车型识别菜单项，对车辆进行识别。 4.测试图像存储在img文件夹下，车型轮廓模板存储在contour文件夹下。 二、车牌识别 1.先打开一幅图片，然后在车牌定位与识别菜单下依次点击：车牌提取、倾斜校正、字符分割、字符识别。 2.测试图像存储在img文件夹下。
tracker
- 该代码为车辆自动检测与跟踪识别的系统的开发代码-The code for the automatic detection and tracking vehicle identification system development code
sdadssad
- 强大的图像模式识别程序，在车辆测距中有很大作用，综合包括了聚类和分类程序-Powerful image pattern recognition program, plays a significant role in the vehicle ranging, including a comprehensive clustering and classification procedures
Halconshibie
- 在halcon环境中，实现车辆号码识别的示例-Vehicle Identification Number halcon example
car_shadow
- 基于阴影分割的车辆检测识别，可以成功地检测出车辆位置-the vehicle detection based on shadow,it can detect the vehicle succefully
Vehicle_lane_change_detect
- 基于opencv的车辆变道识别。霍夫变换检测直线找到车道线，通过车道线方向判断变道-Vehicle lane change identification based on opencv. Hof transform detection line to find the lane line, through the lane direction to determine the way
zhixian_Untitled
- 本程序可以有效地解决在智能车辆运行过程中对道路中心线的有效识别，通过视频图像分割，二值化，边缘检测，hough变换最后得到。-This procedure can effectively solve the intelligent vehicle is running efficiently identify the centerline of the road, through a video image segmentation, binarization, edge detection,
OCR-1.1
- 图形识别，识别车辆车牌号码, 图形识别，识别车辆车牌号码-Pattern recognition, the identification of the vehicle license plate number
targeting-
- 基于车辆轮廓定位匹配的车型识别方法， 基于车型轮廓识别方法的自动分类研究。-Automatic Classification Based on models outline recognition method.
Video-Demo
- 使用vc++编写的基于视频的运动目标识别与跟踪，对视频中的车辆进行检测跟踪。-Prepared using vc++ video-based moving target identification and tracking of video vehicle detection and tracking.
OpenCV_3_Car_Counting_Cpp-master-
- 汽车识别，计数源代码 通过opencv色差提取，对移动的车辆进行识别 当已经识别的车辆通过定义直线时候，进行计数-Vehicle identification, counting opencv source code by extracting the color of a moving vehicle to identify when a vehicle has been identified by defining a straight line when counting
Traffic-Statistics-Based-on-Video
- 该程序基于视频统计车流量。该算法通过识别出交通场景图像中复合车辆特征的像素，进行图像分割，并依据提取出来的特征来匹配前后两幅图像中的车辆，从而计算车流量。-The program is based on the video statistics vehicle traffic. The algorithm calculates the traffic volume by recognizing the pixels of the composite vehicle feature in the
car-recognization
- 实现对车辆图片的识别，对机器学习算法有较大的改进-Identification of the vehicle to achieve a picture of the machine learning algorithms have greatly improved
car_detector
- 用python语言实现的，车辆的自动检测与识别，其中包括滑动窗口的设计，图像金字塔的设计，以实现在多尺度空间下车辆的自动检测-Using python language, automatic vehicle detection and identification, including the sliding window design, image pyramid design, in order to achieve multi-scale space in the vehicle s au
DSM
- 基于51单片机的DSM-301射频模块测试程序.远距离电子标签被广泛应用在人员、车辆、资产的智能化识别、定位、跟踪、监控和管理。在校园、医院、矿井、敬老院、监狱、停车场、物流、景区、动物园等场合有着成熟的应用。 DSM-301电子标签识别模块工作在2.4GHz-2.45GHz微波段，内置天线，内置信号衰减控制器，可有效识别1—50米范围内的电子标签。 DSM-301模块内置信号衰减控制模块，可有效控制读卡的距离，识别距离精度可达1米以内-51 microcontrolle
chepai
- 车辆号码识别系统，使用了GUI设计，输入车牌图像即可自动识别出车牌号码。-Car number identification system, the use of the GUI design, simply enter the license plate image automatically identify license plate number.