搜索资源列表
GeroundImagsDetection
- 一个图像背景差分边缘提取，采用OpenCV来完成源代码。-A background difference image edge detection using OpenCV to complete the source code.
opencv_Detect
- 采用VC++6和opencv1.0，基于对话框模式，打开摄像头或打开已有的AVI文件，采用简单的背景差分法动态跟踪活动物体。opencv1.0需要自行下载和配置。-Using VC++6 and opencv1.0, dialog-based mode, open the camera or open an existing AVI file, the background difference method using a simple dynamic tracking moving obje
bg
- 基于opencv的动态背景差分法例子程序-Opencv background difference based on the law of dynamic subroutine
Gaussian-modeling-approach
- vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -OpenCV-based motion tracking sys
background_segmentation
- (背景差分)调用opencv函数，事先把背景图像存储下来，然后将前景图像与背景图像作差-call opencv function, first storage down the background image , and then the foreground image and background image for the poor
background-difference-method
- 利用OpenCV中背景差分的函数，进行背景差分法构建，可以很好的进行运动目标检测-Background difference method based on OpenCV
Time-Average-Method
- 利用Opencv与VC++实现的目标检测中背景差分法的源代码-Time Average Method
background-Time-Average-Method
- 利用opencv和vc++实现的目标检测中背景差分法中的时间平均法-background-Time Average Method
YCbCrGauaaModel
- 利用基于YCbCr空间的高斯模型建立背景，并实时更新，通过背景差分法检测出道路中的运动车辆目标，效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in
bkgrd
- 基于opencv，背景差分法实现，目标检测-based on opencv,background substraction
mfcOpencv
- 在VC6.0+OpenCV的实现背景差分目标检测的方法，很利于以后自己的学习！-VC6.0+ OpenCV background subtraction target detection method , it is conducive to learning !
captive
- 通过背景差分的方法，识别摄像头捕捉到的画面中运动的物体-Moving objects in the background difference method, the recognition camera to capture the screen
CarStreamTest
- 可分别对视频中的四个车道的车流数目进行统计 ，采用的的基于OpenCV+VC2008编程，车车辆识别采用背景差分法和邻帧检测法-Video can be respectively on the four lane number traffic statistics, the based on OpenCV+ VC2008 programming, the car vehicle identification adopted the background difference method and
FindMoving
- 由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
demo
- 使用背景差分的方法跟踪和识别视屏中的目标，效果良好-The goal using background subtraction method to track and identify Screen to good effect
beijingcha
- 用Opencv编写的背景差分法，实现背景差分功能-Opencv prepared background difference method, background subtraction functions
detect-motion
- 在VC++6.0的MFC中结合opencv1.0的环境中编写的运动目标检测，采用的是背景差分法，混合高斯背景建模-Combined opencv1.0 environment written in the MFC VC++6.0 moving target detection using background subtraction method, Gaussian mixture background modeling
cvcamera
- opencv 从摄像头或视频文件中读取视频，并利用背景差分法对运动物体进行检测-opencv read the video from the camera or video files, and use background subtraction method to detect moving objects
Background-subtraction
- opencv 从摄像头或视频文件中读取视频，并利用背景差分法检测出视频中的运动物体-opencv read the video from the camera or video files, and using background subtraction method to detect moving objects in video