登录
首页 » C++ » MeanShift +Kalman(上传至Pudn)

MeanShift +Kalman(上传至Pudn)

于 2018-09-17 发布 文件大小:3985KB
0 88
下载积分: 1 下载次数: 3

代码说明:

  基于Kalman滤波和Meanshift算法的目标跟踪算法的C++程序,运行可用,具有参考价值。(The C++ program of target tracking algorithm based on Kalman filter and Mianshift algorithm is available and has reference value.)

文件列表:

MeanShift %2BKalman\bike.avi, 446600 , 2014-04-16
MeanShift %2BKalman\Debug\cl.command.1.tlog, 10350 , 2014-06-03
MeanShift %2BKalman\Debug\CL.read.1.tlog, 32508 , 2014-06-03
MeanShift %2BKalman\Debug\CL.write.1.tlog, 6472 , 2014-06-03
MeanShift %2BKalman\Debug\Kalman.obj, 10868 , 2014-06-03
MeanShift %2BKalman\Debug\link-cvtres.read.1.tlog, 2 , 2014-06-03
MeanShift %2BKalman\Debug\link-cvtres.write.1.tlog, 2 , 2014-06-03
MeanShift %2BKalman\Debug\link.4140-cvtres.read.1.tlog, 2 , 2014-06-03
MeanShift %2BKalman\Debug\link.4140-cvtres.write.1.tlog, 2 , 2014-06-03
MeanShift %2BKalman\Debug\link.4140.read.1.tlog, 2 , 2014-06-03
MeanShift %2BKalman\Debug\link.4140.write.1.tlog, 2 , 2014-06-03
MeanShift %2BKalman\Debug\link.command.1.tlog, 12318 , 2014-06-03
MeanShift %2BKalman\Debug\link.read.1.tlog, 16968 , 2014-06-03
MeanShift %2BKalman\Debug\link.write.1.tlog, 3944 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.Build.CppClean.log, 1579 , 2014-05-19
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.exe, 56832 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.exe.embed.manifest, 406 , 2014-05-19
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.exe.embed.manifest.res, 472 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.exe.intermediate.manifest, 381 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.ilk, 501984 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.lastbuildstate, 88 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv.pdb, 1625088 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift Kalman no cv_manifest.rc, 234 , 2014-05-19
MeanShift %2BKalman\Debug\MeanShift-Kalman.log, 4317 , 2014-06-03
MeanShift %2BKalman\Debug\MeanShift.obj, 22596 , 2014-06-03
MeanShift %2BKalman\Debug\mt.command.1.tlog, 1432 , 2014-06-03
MeanShift %2BKalman\Debug\mt.read.1.tlog, 1134 , 2014-06-03
MeanShift %2BKalman\Debug\mt.write.1.tlog, 422 , 2014-06-03
MeanShift %2BKalman\Debug\rc.command.1.tlog, 2046 , 2014-06-03
MeanShift %2BKalman\Debug\rc.read.1.tlog, 1050 , 2014-06-03
MeanShift %2BKalman\Debug\rc.write.1.tlog, 1074 , 2014-06-03
MeanShift %2BKalman\Debug\stdafx.obj, 11675 , 2014-06-03
MeanShift %2BKalman\Debug\Tracking.obj, 131540 , 2014-06-03
MeanShift %2BKalman\Debug\vc100.idb, 658432 , 2014-06-03
MeanShift %2BKalman\Debug\vc100.pdb, 1060864 , 2014-06-03
MeanShift %2BKalman\ipch\meanshift-kalman-1ebaada0\meanshift kalman no cv-732afd5.ipch, 2359296 , 2014-07-05
MeanShift %2BKalman\Kalman.cpp, 6614 , 2014-05-09
MeanShift %2BKalman\Kalman.h, 159 , 2013-06-23
MeanShift %2BKalman\MeanShift-Kalman.sdf, 6049792 , 2014-07-05
MeanShift %2BKalman\MeanShift-Kalman.sln, 904 , 2014-03-24
MeanShift %2BKalman\MeanShift-Kalman.suo, 25600 , 2014-07-05
MeanShift %2BKalman\MeanShift-Kalman.vcproj, 5035 , 2013-06-25
MeanShift %2BKalman\MeanShift-Kalman.vcxproj, 6564 , 2014-04-16
MeanShift %2BKalman\MeanShift-Kalman.vcxproj.filters, 1661 , 2014-03-24
MeanShift %2BKalman\MeanShift-Kalman.vcxproj.user, 143 , 2014-03-23
MeanShift %2BKalman\MeanShift.cpp, 13959 , 2014-05-20
MeanShift %2BKalman\MeanShift.h, 356 , 2013-06-23
MeanShift %2BKalman\Microsoft.Cpp.Win32.user.props, 1369 , 2014-03-09
MeanShift %2BKalman\ReadMe.txt, 1189 , 2010-12-14
MeanShift %2BKalman\stdafx.cpp, 213 , 2010-12-14
MeanShift %2BKalman\stdafx.h, 233 , 2010-12-14
MeanShift %2BKalman\targetver.h, 498 , 2010-12-14
MeanShift %2BKalman\test.avi, 1746620 , 2009-05-06
MeanShift %2BKalman\Tracking.cpp, 8901 , 2014-05-21
MeanShift %2BKalman\UpgradeLog.XML, 1305 , 2014-03-23
MeanShift %2BKalman\UpgradeLog2.XML, 1354 , 2014-03-24
MeanShift %2BKalman\_UpgradeReport_Files\UpgradeReport.css, 3348 , 2014-03-24
MeanShift %2BKalman\_UpgradeReport_Files\UpgradeReport.xslt, 12505 , 2010-05-04
MeanShift %2BKalman\_UpgradeReport_Files\UpgradeReport_Minus.gif, 69 , 2014-03-24
MeanShift %2BKalman\_UpgradeReport_Files\UpgradeReport_Plus.gif, 71 , 2014-03-24
MeanShift %2BKalman\输出-生成.txt, 3 , 2014-04-16
MeanShift %2BKalman\ipch\meanshift-kalman-1ebaada0, 0 , 2014-07-05
MeanShift %2BKalman\Debug, 0 , 2014-07-03
MeanShift %2BKalman\ipch, 0 , 2014-07-05
MeanShift %2BKalman\_UpgradeReport_Files, 0 , 2014-06-09
MeanShift %2BKalman, 0 , 2014-07-05

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Quantization
    这个是有关于量化的具体介绍是英文版的,介绍的很详细(this is on the quantification of specific details in English, introduced in great detail)
    2006-11-02 18:42:07下载
    积分:1
  • 批量片合并源码
    批量图片合并源码
    2016-06-03下载
    积分:1
  • live-wire_contour_version_matlab
    自己写的matlab版的live-wire算法,效率有点低,不过可用(Written in Matlab version, the live-wire algorithm, a bit low, but available)
    2012-04-24 09:10:27下载
    积分:1
  • 分割
    实现了遥感图像可以进行阈值分割和分水岭分割(Threshold segmentation, watershed segmentation)
    2017-08-14 10:54:46下载
    积分:1
  • papersimulate
    仿真一篇国际学会论文。主要是分割粘连细胞图像。(Simulation of an International Society papers. Mainly adhesion cell image segmentation.)
    2010-01-23 09:54:21下载
    积分:1
  • K-means
    通过非监督分类中的K-均值聚类对Indian pines高光谱图像进行分类(Classification of hyperspectral images of pines Indian by K-means of non supervised classification)
    2016-06-29 21:08:26下载
    积分:1
  • SIFT
    图像检索中经典的SIFT方法matlab实现,由NTU的大牛撰写,做了些批注。(SIFT for image retrieval,feature extraction and matching)
    2020-12-30 15:29:00下载
    积分:1
  • Jsteg
    基于DCT的jsteg图像隐写及分析算法,MATLAB实现。 JSteg的算法主要思想是将秘密消息嵌入在量化后的DCT系数的最低比特位上,但对原始值为O、1的DCT系数不进行嵌入。提取秘密消息时,只需将载密图像中不等于0、l的量化DcT系数的LSB取出即可。(The main idea of the JSteg algorithm is to embed secret messages in the lowest bit of the quantized DCT coefficients, but the DCT coefficients of the original values are O and 1 are not embedded. When extracting secret messages, only the LSB of the quantized DCT coefficients not equal to 0 and l in the encrypted image can be taken out.)
    2021-04-19 23:48:51下载
    积分:1
  • pcannc
    主分量分析对SAR图像目标进行特征提取,用最近临方法进行分类(Principal component analysis(PCA) of SAR image target feature extraction, classification using nearest-neighbor method)
    2021-01-01 21:58:58下载
    积分:1
  • MotionDetection
    说明:  静止背景下运动目标检测,采用帧间差分的方法进行运动目标识别(Static background motion detection, frame difference methods using Moving Object Recognition)
    2010-04-12 15:22:15下载
    积分:1
  • 696518资源总数
  • 104228会员总数
  • 45今日下载