搜索资源列表
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
meanshift
- This mean-shift algorithm using openCV-This is mean-shift algorithm using openCV
453462_50c78ec7d0a40ed6
- kalman和mean shift算法结合的跟踪-combining kalman and mean shift tracking algorithm
MeanShift-Tracking
- tracking opencv 目标检测跟踪-tracking opencv
BAH1
- 用卡尔曼滤波和自适应窗口的均值偏移算法再结合Bhattacharyya系数粗定位实现视频目标跟踪-Kalman filtering and adaptive window mean shift algorithm combined with coarse positioning Bhattacharyya coefficient for video tracking
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
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++
Ren_Yuan_Zhang_MM11short
- CamShift算法，即”Continuously Apative Mean-Shift”算法，是一种运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪的目的。我把这个算法分解成三个部分，便于理解： 1) Back Projection计算 2) Mean Shift算法 3) CamShift算法-this a camshift program
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
meanshift-tracking-source
- mean-shift源程序，学习好代码,用于图像分割，识别和跟踪-menshift tracking source
CV2_Learn_ContentFinder
- 使用opencv2写的，利用均值漂移（Mean Shift）算法查找感兴趣的物体。-Use opencv2 write, using mean shift (Mean Shift) algorithm to find the object of interest.
Video-Demo
- 静态背景下背景预测法目标检测,静态背景下帧间差分法目标检测,Mean Shift方法目标跟踪方法-Background prediction target detection under static background, frame difference method for target detection under static background, Mean Shift method for target tracking method
Mean-Shift--papers
- Mean Shift 的相关文章,关于Mean Shift 的文章，相对而言比较全，有英文，有中文的文献，也有改进的算法-Mean Shift related articles, articles on Mean Shift, is relatively wide, available in English, there are Chinese literature, but also the improved algorithm
mean-shift
- 该程序是分块mean shift 跟踪程序，能够在障碍物遮挡的情况下很好的跟踪目标，而不丢失。-The program is divided into blocks mean shift tracking program, can be a good target tracking in case of obstructions without loss.
mean-shift
- Mean-Shift算法的C++程序，手动选择目标跟踪，并显示目标的直方图-Mean-Shift algorithm C++ procedures, manual selection of target tracking, and display the target histogram
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