搜索资源列表
meanshift
- 视频目标跟踪。在OpenCV下开发，使用meanshift方法。-video tracking. The OpenCV under development, use meanshift methods.
meanshift
- VC编写的基于meanshift的目标跟踪圆形算法,可跟踪5个目标
FaceTrackingWithFDMeanShift
- 用OpenCV的MeanShift函数实现： 先人脸识别，再跟踪人脸。-With MeanShift from OpenCV, first face detecting, then face tracking...
videotrack
- 基于VC++的的meanshift算法动目标识别程序-Based on the moving target identification procedures meanshift
trackPmean
- 对视频序列帧图像进行跟踪，采用的是meanshift法，可以对感兴趣的目标进行手动框定-To track the sequence of video images, by using meanshift, you can manually from interested target frame
erewrer-b
- 用MATLAB进行图像处理。meanshift的方法进行图像的差分，以消除背景变化的问题-Image processing using MATLAB. meanshift the differential image, to eliminate the problem of the background changes
5435435345341231231`
- 用C++进行图像处理。meanshift的方法进行图像的差分，以消除背景变化的问题-Image using C++. meanshift the differential image, to eliminate the problem of the background changes
07941198Mybp539
- 利用MATLAB编写的运动目标跟踪程序，利用meanshift,能很稳定的跟踪目标，效果很不错，适合初学者。-Moving target tracking using MATLAB program, very stable tracking the target, the effect is very good for beginners.
72178896meanshift
- meanshift的一系列资料。包含论文，程序和各种文档资料，很全，很强大。欢迎下载-series of information meanshift. Contains papers, procedures and documentation, very full, very powerful. Welcome to download
mean-shift
- meanshift图像跟踪算法，实现目标物体的连续跟踪-meanshift image tracking algorithm to achieve continuous tracking of the target object
Mean-Shift
- MEANSHIFT算法，里面主要包含：目标尺度不变、增量试探法、多级正方形法；-MEANSHIFT algorithm, which mainly includes: the target scale invariant, incremental heuristics, multi-level square law
camshift
- 带宽自适应的meanshift改进算法用于井下目标跟踪-Meanshift improved bandwidth adaptive algorithm for target tracking underground
edison
- meanshift 图像分割算法，非常经典的图像分割算法，附带界面，可显示分割效果-meanshift image segmentation code
meanshift
- 使用mean shift算法实现图像分割，先将图像扩展，而后实现分割-Using mean shift image segmentation algorithm, first image expansion, then realize segmentation
MeanShift
- MeanShift彩色图像均值漂移分割算法，非常经典的分割算法-MeanShift algorithm segmentation, very classic segmentation algorithm