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基于opencv2.2的大津法分割
- 基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into
利用OpenCV对视频进行处理
- 利用OpenCV对视频进行处理，尝试打开本电脑上的摄像头作为视频输入设备，或者将命令行的输入参数作为文件名来打开的视频文件。不管是哪一种方法，最后都是不断的循环处理一帧一帧地处理，涉及到的图像处理有背景擦除，平滑滤波，二值化等。-Using OpenCV to process the video, try to open the computer input device as a video camera, or the command line input parameters as the
PeopleCounter
- It is a people counter perform using opencv library and C++ language. Has also implemented background subtraction and object tracking.
background-subtraction
- 背景差法OpenCV实现程序代码,此代码是基于vc环境下的对图像的处理的代码 -OpenCV background subtraction method to achieve the program code, the code is based on the vc environment for image processing code
background-subtraction
- 背景高斯建模 能够很好的实现车辆的检测，可以用于与其他算法的比较-the Background Subtraction for the vehicle detection
Background_Subtraction
- 基于opencv的背景差法，实现前景和背景的分离。需要先配置好vc2008，然后编译执行。-Opencv background difference based method to achieve the separation of foreground and background. Need to configured vc2008, and then compile the implementation.
detection
- 背景减除法 Opencv 运动物体检测 ROI区域检测-Background subtraction method for moving object detection Opencv ROI region detection
GMM_bg_ex
- Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
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
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
[background-subtraction-using-opencv
- 背景差法OpenCV实现程序代码,使用OPENCV实现，编译可通过。-The background difference method OpenCV program code
VCPOpenCVPget-background
- 提取静态场景的背景，用于图像图像目标检测，使用OpenCV平台，请在在vc++环境下运行 -Extract the static scene background for the image image target detection using OpenCV platform, running in vc++ environment
add-background-and-texture
- OPENCV图像的去背景及添加纹理操作，使用了opencv，并有连通域操作-The OPENCV image to the background and add texture operation, use opencv, and operation of the connected domain
background
- 基于opencv和VC++的目标识别代码，帧差法和背景差法同时运用-While the use of target identification code based on opencv and VC++ of the frame difference method and background subtraction
background
- 基于高斯的前景检测，用于从背景中将前景物体分离出来。-Based on Gaussian prospects detection, for foreground objects from the background will be separated.
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
Gauss-background-modeling
- 高斯背景建模Gauss background modeling-Gauss background modeling
av-background
- 初始化 统计背景模型，用背景差法提取前景图像，并使得背景不断刷新-First initialized, statistical background model, background difference to extract foreground and background model constantly refreshed
Average-background-method
- 平均背景法是一种学习背景场景和分割前景目标的简单方法。这种方法只能用于背景场景中不包含运动部分。而且，这种方法还要求光线保持不变，比如室内静止场景。-Average background method is a simple way to split the background and foreground objects scene study. This method can only be used for background scene does not contain moving
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current