基于C均值算法的车辆检测与跟踪

上传者: whzhaochao | 上传时间: 2023-04-11 11:33:53 | 文件大小: 434KB | 文件类型: RAR
基于C均值算法的车辆检测与跟踪,可以检测静态图像中车辆或物体的人数!

文件下载

资源详情

[{"title":"( 41 个子文件 434KB ) 基于C均值算法的车辆检测与跟踪","children":[{"title":"基于C均值算法的车辆检测与跟踪","children":[{"title":"说明.txt <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"DetectAndTrack","children":[{"title":"ImageWnd.cpp <span style='color:#111;'> 4.22KB </span>","children":null,"spread":false},{"title":"ReadMe.txt <span style='color:#111;'> 3.64KB </span>","children":null,"spread":false},{"title":"StdAfx.h <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"Group.h <span style='color:#111;'> 662B </span>","children":null,"spread":false},{"title":"res","children":[{"title":"DetectAndTrack.rc2 <span style='color:#111;'> 406B </span>","children":null,"spread":false},{"title":"DetectAndTrack.ico <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"Thumbs.db <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false}],"spread":true},{"title":"DetectAndTrack.h <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.dsw <span style='color:#111;'> 536B </span>","children":null,"spread":false},{"title":"DetectAndTrack.opt <span style='color:#111;'> 56.50KB </span>","children":null,"spread":false},{"title":"Data.txt <span style='color:#111;'> 75.00KB </span>","children":null,"spread":false},{"title":"DetectAndTrackDlg.h <span style='color:#111;'> 3.54KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.suo <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"SetLimit.cpp <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"背景.bmp <span style='color:#111;'> 225.05KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.aps <span style='color:#111;'> 22.58KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.vcproj <span style='color:#111;'> 8.18KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.cpp <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.sln <span style='color:#111;'> 917B </span>","children":null,"spread":false},{"title":"DetectAndTrackDlg.cpp <span style='color:#111;'> 23.13KB </span>","children":null,"spread":false},{"title":"resource.h <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.ncb <span style='color:#111;'> 105.00KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.rc <span style='color:#111;'> 7.43KB </span>","children":null,"spread":false},{"title":"PixelPoint.cpp <span style='color:#111;'> 759B </span>","children":null,"spread":false},{"title":"DetectAndTrack.dsp <span style='color:#111;'> 4.60KB </span>","children":null,"spread":false},{"title":"SetLimit.h <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"ImageWnd.h <span style='color:#111;'> 1.27KB </span>","children":null,"spread":false},{"title":"图像","children":[{"title":"待检测3.bmp <span style='color:#111;'> 185.69KB </span>","children":null,"spread":false},{"title":"背景.bmp <span style='color:#111;'> 185.69KB </span>","children":null,"spread":false},{"title":"待检测1.bmp <span style='color:#111;'> 185.69KB </span>","children":null,"spread":false},{"title":"待检测5.bmp <span style='color:#111;'> 185.69KB </span>","children":null,"spread":false},{"title":"待检测4.bmp <span style='color:#111;'> 185.69KB </span>","children":null,"spread":false},{"title":"Thumbs.db <span style='color:#111;'> 22.50KB </span>","children":null,"spread":false}],"spread":false},{"title":"待检测.bmp <span style='color:#111;'> 225.05KB </span>","children":null,"spread":false},{"title":"Group.cpp <span style='color:#111;'> 532B </span>","children":null,"spread":false},{"title":"StdAfx.cpp <span style='color:#111;'> 216B </span>","children":null,"spread":false},{"title":"PixelPoint.h <span style='color:#111;'> 713B </span>","children":null,"spread":false},{"title":"DetectAndTrack.clw <span style='color:#111;'> 2.34KB </span>","children":null,"spread":false},{"title":"DetectAndTrack.plg <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false}],"spread":false},{"title":"模糊C均值聚类算法的实现.doc <span style='color:#111;'> 300.50KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】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,【只为小站】 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 【只为小站】 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,zhiweidada#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