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给予opencv的VIS视频跟踪
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。
基于meanshift的目标跟踪opencv开源代码
- 基于meanshift的目标跟踪opencv开源代码,Base mean shift object tracking
MEAN
- 用OpenCV编写的计算图像像素平均值的程序，可用于图像处理-Written with OpenCV image pixel average calculation procedure can be used for image processing
OpenCV-Mean-Shift-demo
- 基于OpenCV实现的图像特征区域跟踪程序，基于类Mean-Shift实现的颜色直方图概率匹配算法，可同时跟踪6个特定目标区域。-OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a
Kalman
- kalman颜色跟踪算法 效果比meanshift好 opencv -kalman opencv color tracking algorithm
Filter
- OPENCV下的中值滤波，均值滤波，高斯滤波程序-OPENCV the median filter, mean filter, Gaussian filter procedure
VIS
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
mean
- 对二值图像（当前目录下a.jpg）进行中值滤波 基于OpenCV函数库-Value of the two images (the current directory a.jpg) for median filtering based on the OpenCV library
zncc
- ZNCC Normalized cross correlation m = zncc(w1, w2) Compute the zero-mean normalized cross-correlation between the two equally sized image patches w1 and w2. Result is in the range -1 to 1, with 1 indicating identical pixel patterns.-ZN
RealTimeMeanShiftTrackingusingOpticalFlowDistribut
- 利用mean shift算法实现实时目标跟踪，并使用光流法进行目标检测-Using mean shift algorithm for real-time target tracking, and use the optical flow method for target detection
meanFilter
- Mean filter to get rid of salt and pepper noise in images using openCV library for VC-Mean filter to get rid of salt and pepper noise in images using openCV library for VC++
mean
- 将opencv的meanshift进行简化修改。-Will simplify the modification opencv of meanshift.
K_MeansSeg
- KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
SIFT_VC.lib
- 本系统中VIS欠缺的SIFT_VC.lib文件。。。 http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library
ground_detect
- 基于OpenCv的背景检测，先要建立背景模型，检测在背景下的物体。（用的是均值方差的方法建立背景模型）-Background detection based OpenCv to first build the background model to detect objects in the background. (Using a mean-variance method to establish the background model)
meanshift
- This mean-shift algorithm using openCV-This is mean-shift algorithm using openCV
MeanShift-Tracking
- tracking opencv 目标检测跟踪-tracking opencv
rgb-mean-shift
- 基于vc的opencv实现meanshift算法-vc+opencv+meanshift,you can use it freely
KNNjunzhilvbo-opencv
- 基于openCV的KNN均值滤波去噪程序，使用VC6.0进行实现-Based on the openCV KNN mean filtering denoising procedures, using VC6.0 to achieve
K均值聚类在基于OpenCV的图像分割中的应用
- 介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of