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VLoopSet
- 虚拟线圈设置小工具，可随意拖动设置任意四边形，供图形处理参考。
虚拟线圈可视化设置
- 利用得到道路上的图像对车道进行虚拟线圈的设置,方便利用这些虚拟线圈进行跟踪车辆的运行状况-used to be on the road to image right lane virtual coil configuration to facilitate the use of these virtual coil tracking vehicles running
虚拟线圈可视化设置
- 利用得到道路上的图像对车道进行虚拟线圈的设置,方便利用这些虚拟线圈进行跟踪车辆的运行状况-used to be on the road to image right lane virtual coil configuration to facilitate the use of these virtual coil tracking vehicles running
VLoopSet
- 虚拟线圈设置小工具，可随意拖动设置任意四边形，供图形处理参考。-Virtual coil settings gadget can easily drag setting arbitrary quadrilateral for graphics processing reference.
firstt
- 基于虚拟线圈的车辆技术与速度检测 需要OPENCV2.0的支持-Technology-based virtual loops and speed detection vehicles need the support of OPENCV2.0
a
- 基于OPENCV的车辆检测，采用画出虚拟线圈的方法实现车辆的检测，定位，触发-OPENCV-based vehicle detection, draw virtual coil vehicle detection, location, and trigger
FlowDetect
- 该程序为C++Builder环境下编制的，可以在视频文件中（AVI）中检测道路上通过虚拟线圈的车辆数量，并可以在车道上画虚拟线圈。实检率达到93.8 -Prepared by the procedures C++Builder environment, in a video file (AVI) detected on the road by the number of vehicles of the virtual loops, vi
5-21
- 基于OPENCV的车辆检测，采用画出虚拟线圈的方法实现车辆的检测，定位，触发-Intelligent transport system(ITS)is currently being studied and the subject of widespread concern in the area of the world transport．These years，the great economic benefit has b
moving
- 运动目标追踪，虚拟线圈,车辆测速计数系统-Moving target tracking, virtual coil, vehicle speed counting system
CountsPeopleWalking
- 这个程序是进行数人数的，在一个虚拟的线圈里，通过多少人，进行计数-the program is for you to count people in a place
jiaotongcanshujiance
- 涉及交通参数检测，包括虚拟线圈的设置，阴影消除和背景更新。-Traffic parameter detection, including virtual coil set, eliminating the shadow and background update.
r
- 交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。
speed_detection
- 本程序是基于虚拟线圈的流动车速检测程序，平台为VS2010+OpenCV2.4.10(This procedure is based on the virtual coil flow speed detection procedures, the platform for VS2010+OpenCV2.4.10)