搜索资源列表
Background_Extract
- 基于OpenCV开发的道路交通视频的背景提取和前景提取。可对道路的背景进行提取和实时更新，从而提取出运动的车辆。
GMM
- 利用K-高斯混合模型提取视频的前景信息。-The use of K-Gaussian mixture model for the future of video information extraction
FgBgSubtract
- 前景背景分离的程序，用于提取固定背景下的视频中的运动目标-The prospects for the background separation process for extracting fixed in the context of the video moving target
CarCount
- 该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项-The program function is to achieve movement of vehicles on the road statistics. A small module function has t
GMMsegmation
- 利用高斯混合模型进行视频前景运动目标的提取！请使用自己的AVI文件。-extract the foreground moving object using the Gaussian mixture model
Background_And_Foreground
- 背景、前景 提取，能在视频中准确提取背景信息从而提取前景信息-Extract Background And Foreground Image
基于MOG的视频前景检测MixGaussExtractForeground
- 基于MOG的视频前景检测算法，利用OpenCV做前景提取(Video foreground detection based on MixGaussExtractForeground MOG)
monitor-recorder
- 利用opencv进行视频前景的提取，开发的视频监控程序(The use of OpenCV video foreground extraction, the development of video surveillance procedures.)
ExtractForeground
- opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
mixture_of_gaussians
- 视频前景信息提取的常用算法，广泛应用于视频检测报警等领域(A common algorithm for video foreground information extraction)
Motion-BasedForegroundSegmentation
- 编程实现视频前景目标提取，处理，特别是对于监控视频，实用性很大。(Programming implementation of video foreground target extraction, processing, especially for monitoring video, is very practical.)
shift-shexiangtou
- mean-shift算法实现抖动视频中目标的前景提取(Mean-shift algorithm to achieve the goal of foreground extraction)
平均背景法-动静态背景视频前景目标提取
- 平均背景法， 动静态视频前景目标提取， 输出mask， opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
MATLAB_高斯模型
- 用高斯模型算法来处理视频，提取前景信息，适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)
光流法
- 光流法处理视频的前景信息的提取，该算法适应于静态背景(Optical flow processing of video foreground information extraction, the algorithm is adapted to the static background)
帧间差分法
- 通过帧间差分法提取视频前景目标，并进行后续形态学处理(The foreground of the video is extracted by frame difference method and the subsequent morphological processing is carried out)
GMM
- 该程序可实现对监控视频的有效前景提取，非常稳定(Video foreground extraction)
avergBg_subtraction
- 采用平均背景法读取视频每一帧，计算出背景后存为之后差分对，仿真matlab版本2014a其他的没有测试，但是视频读取务必选用黑白视频。(Using the average background method to read video each frame, calculate the background, save as after difference, simulation matlab version of 2014a, the other did not test, but vide
hunhegaosi
- 混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2
FGseg
- 用于视频前景目标提取，包含测试数据，可运行(This package can be used for video foreground target extraction. It includes executable programs and test data files and thus it can be run directly.)