首页 开发技术 其它     /    基于Meanshift的单目标跟踪算法【matlab+c两个版本】

基于Meanshift的单目标跟踪算法【matlab+c两个版本】

上传者: jinshengtao | 上传时间:2025/6/6 22:57:58 | 文件大小:9.11MB | 文件类型:zip
基于Meanshift的单目标跟踪算法【matlab+c两个版本】
基于meanshift的单目标跟踪算法实现说明:1. RGB颜色空间刨分,采用16*16*16的直方图2. 目标模型和候选模型的概率密度计算公式参照上文3. opencv版本运行:按P停止,截取目标,再按P,进行单目标跟踪4. Matlab版本,将视频改为图片序列,第一帧停止,手工标定目标,双击目标区域,进行单目标跟踪。
博客地址:http://blog.csdn.net/jinshengtao/article/details/30258833 本软件ID:7489501

文件下载

资源详情

[{"title":"(56个子文件9.11MB)基于Meanshift的单目标跟踪算法【matlab+c两个版本】","children":[{"title":"Meanshift","children":[{"title":"matlab","children":[{"title":"result72.jpg <span style='color:#111;'>48.27KB</span>","children":null,"spread":false},{"title":"meanshift.m <span style='color:#111;'>3.23KB</span>","children":null,"spread":false},{"title":"image","children":[{"title":"result74.jpg <span style='color:#111;'>51.43KB</span>","children":null,"spread":false},{"title":"result91.jpg <span style='color:#111;'>52.12KB</span>","children":null,"spread":false},{"title":"result98.jpg <span style='color:#111;'>51.43KB</span>","children":null,"spread":false},{"title":"result75.jpg <span style='color:#111;'>51.96KB</span>","children":null,"spread":false},{"title":"result92.jpg <span style='color:#111;'>52.21KB</span>","children":null,"spread":false},{"title":"result97.jpg <span style='color:#111;'>50.18KB</span>","children":null,"spread":false},{"title":"result80.jpg <span style='color:#111;'>52.68KB</span>","children":null,"spread":false},{"title":"result99.jpg <span style='color:#111;'>52.13KB</span>","children":null,"spread":false},{"title":"result88.jpg <span style='color:#111;'>51.52KB</span>","children":null,"spread":false},{"title":"result95.jpg <span style='color:#111;'>50.97KB</span>","children":null,"spread":false},{"title":"result90.jpg <span style='color:#111;'>52.46KB</span>","children":null,"spread":false},{"title":"result73.jpg <span style='color:#111;'>50.27KB</span>","children":null,"spread":false},{"title":"result101.jpg <span style='color:#111;'>52.42KB</span>","children":null,"spread":false},{"title":"result96.jpg <span style='color:#111;'>48.14KB</span>","children":null,"spread":false},{"title":"result93.jpg <span style='color:#111;'>52.77KB</span>","children":null,"spread":false},{"title":"result85.jpg <span style='color:#111;'>49.51KB</span>","children":null,"spread":false},{"title":"result78.jpg <span style='color:#111;'>52.89KB</span>","children":null,"spread":false},{"title":"result84.jpg <span style='color:#111;'>48.44KB</span>","children":null,"spread":false},{"title":"result94.jpg <span style='color:#111;'>51.35KB</span>","children":null,"spread":false},{"title":"result82.jpg <span style='color:#111;'>52.79KB</span>","children":null,"spread":false},{"title":"result86.jpg <span style='color:#111;'>50.18KB</span>","children":null,"spread":false},{"title":"result76.jpg <span style='color:#111;'>51.83KB</span>","children":null,"spread":false},{"title":"result83.jpg <span style='color:#111;'>51.75KB</span>","children":null,"spread":false},{"title":"result89.jpg <span style='color:#111;'>52.06KB</span>","children":null,"spread":false},{"title":"result87.jpg <span style='color:#111;'>51.50KB</span>","children":null,"spread":false},{"title":"result77.jpg <span style='color:#111;'>52.32KB</span>","children":null,"spread":false},{"title":"result100.jpg <span style='color:#111;'>52.33KB</span>","children":null,"spread":false},{"title":"result81.jpg <span style='color:#111;'>53.26KB</span>","children":null,"spread":false},{"title":"result79.jpg <span style='color:#111;'>52.48KB</span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"opencv","children":[{"title":"Debug","children":[{"title":"MeanShift.exe <span style='color:#111;'>37.50KB</span>","children":null,"spread":false},{"title":"MeanShift.ilk <span style='color:#111;'>394.45KB</span>","children":null,"spread":false},{"title":"MeanShift.pdb <span style='color:#111;'>1.33MB</span>","children":null,"spread":false}],"spread":true},{"title":"MeanShift.suo <span style='color:#111;'>20.00KB</span>","children":null,"spread":false},{"title":"MeanShift","children":[{"title":"MeanShift.vcproj <span style='color:#111;'>4.79KB</span>","children":null,"spread":false},{"title":"hist2.jpg <span style='color:#111;'>6.23KB</span>","children":null,"spread":false},{"title":"Debug","children":[{"title":"MeanShift.exe.embed.manifest.res <span style='color:#111;'>728B</span>","children":null,"spread":false},{"title":"vc90.pdb <span style='color:#111;'>964.00KB</span>","children":null,"spread":false},{"title":"vc90.idb <span style='color:#111;'>483.00KB</span>","children":null,"spread":false},{"title":"MeanShift.exe.intermediate.manifest <span style='color:#111;'>621B</span>","children":null,"spread":false},{"title":"BuildLog.htm <span style='color:#111;'>9.59KB</span>","children":null,"spread":false},{"title":"mt.dep <span style='color:#111;'>65B</span>","children":null,"spread":false},{"title":"MeanShift.exe.embed.manifest <span style='color:#111;'>663B</span>","children":null,"spread":false},{"title":"MeanShift.pch <span style='color:#111;'>3.06MB</span>","children":null,"spread":false},{"title":"stdafx.obj <span style='color:#111;'>11.80KB</span>","children":null,"spread":false},{"title":"MeanShift.obj <span style='color:#111;'>131.26KB</span>","children":null,"spread":false}],"spread":true},{"title":"stdafx.h <span style='color:#111;'>233B</span>","children":null,"spread":false},{"title":"MeanShift.vcproj.jst-PC.jst.user <span style='color:#111;'>1.38KB</span>","children":null,"spread":false},{"title":"ReadMe.txt <span style='color:#111;'>1.17KB</span>","children":null,"spread":false},{"title":"hist1.jpg <span style='color:#111;'>6.92KB</span>","children":null,"spread":false},{"title":"stdafx.cpp <span style='color:#111;'>214B</span>","children":null,"spread":false},{"title":"MeanShift.cpp <span style='color:#111;'>6.88KB</span>","children":null,"spread":false},{"title":"test.avi <span style='color:#111;'>6.40MB</span>","children":null,"spread":false},{"title":"targetver.h <span style='color:#111;'>498B</span>","children":null,"spread":false}],"spread":false},{"title":"MeanShift.sln <span style='color:#111;'>893B</span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

  • yangyang06020341:
    不错,能调试的2020-04-22
  • 小伟db:
    可以运行,非常感谢2019-04-16
  • qq_41838480:
    证明,可以运行2018-12-28
  • zhuitong:
    非常好的资源,matlab代码基本是可用的,多谢!2018-12-04
  • king_hfc:
    下载下来研究一下。2018-11-05

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明