搜索资源列表
MeanShiftC
- 经典的Mean Shift图像跟踪算法的C语言实现，可对常见大小的面目标实现实时跟踪。采用了OpenCV库。
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
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
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
menul
- 根据视频对车辆进行手动跟踪。利用OpenCV实现mean-shift。-Video of vehicles based on manual tracking. Using OpenCV to achieve mean-shift.
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
motion-tracking-and-implementation
- 目标跟踪是计算机视觉的一个重要分支,日益广泛应用于科学技术、国防安全、航空、医药卫生以及国民经济等领域。实现目标跟踪的关键在于完整地分割目标、合理提取特征和准确地识别目标,同时,要考虑算法实现的时间,以保证实时性。当视频图像中被跟踪目标发生姿态变化,存在旋转或部分遮挡时,简单的灰度模板或者Hausdorff距离匹配一般很难达到实时跟踪目标的要求,出现误匹配或者跟踪丢失的情况,而且跟踪效率较低。Gary R.Bradski提出的CAMSHIFT[1](Continu-ously Adaptive
TrackingBlobAlgorithms
- This contained BG/FG detection(simple version and adaptive background mixture models), blob tracking(connected component tracking and MSPF resolver, mean shift, particle filter), Kalman filter using OpenCV. It can be helpful who studying object detec
Meanshift
- 利用Mean-shift进行平滑处理，主要是对图像进行平滑的界面，MFC和OpenCV进行混合编程-Mean-shift smoothing, image smooth interface, the MFC and OpenCV mixed programming ...
segment
- opencv 在OpenCv中实现了三种跟图像分割相关的算法，它们分别是：分水岭分割算法、金字塔分割算法以及均值漂移分割算法-opencv， image segmentation。watershed segmentation algorithm, pyramid segmentation algorithm and mean shift segmentation algorithm.
mean-shift-and-camshift
- 在opencv平台上VC6.0++实现mean-shift 和camshift跟踪目标-Mean-shift, and camshift track the target in opencv platform VC6.0++
opencv.meanshift-master
- 使用mean shift算法对图像进行分割.-Using the mean shift algorithm for image segmentation.
MSFilter
- mean-shift滤波，需要安装opencv，读入图片接口使用了opencv函数。 代码功能： 读入图片，输出mean-shift滤波后的图片，灰度图、彩色图均可。 文件介绍： MSF.h mean-shift滤波头文件 MSF.cpp mean-shift滤波函数体 Main.cpp 主函数 -mean-shift filter, you need to install opencv, read into the picture opencv function int
IS_Pyramid
- 图像分割指的是将数字图像细分为多个图像子区域的过程，在OpenCv中实现了三种跟图像分割相关的算法，它们分别是：分水岭分割算法、金字塔分割算法以及均值漂移分割算法。-Image segmentation refers to the digital image is subdivided into a plurality of image sub-regions in the process, implemented in OpenCv three associated with image se
MeanShift-Kalman-tracking-algorithm
- 结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined track
mean-shift
- 基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.-Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manual
Mean-Shift-CPP
- 在VC6.0+OPENCV上对Mean Shift算法的简单实现，对图像进行简单的额分割-On VC6.0+ OPENCV simple realization Mean Shift algorithm for image segmentation simple volume