搜索资源列表
VideoDemo
- 处理视频文件,跟踪图像目标,用到了MEANSHIFT、帧间差分、重心跟踪等-Processing video files, tracking image target, use the MEANSHIFT, frame difference, the focus tracking
Human_tracking
- Visual c++实现视频运动人体跟踪-Visual c++ to achieve tracking of moving body video
genzong
- C++Builder源码,使用摄像头进行视频拍照、摄像和简单跟踪-C++ Builder source code, use the camera for video camera, camera and a simple tracking
ji
- 运动目标检测是整个视频监控系统的最底层,是目标跟踪、目标分类、目 为理解等的基础,因此运动目标检测是视频序列图像处理的关键环节。根 列图像的背景情况可以将运动目标检测划分为静态背景下运动目标检测 态背景下运动目标检测,本章主要研究静态背景下的运动目标检测算法。 -Moving target detection is the lowest level of video surveillance systems, is the target tracking, target clas
ParticleFilter(1)
- pf 用于跟 踪 粒子滤波器 用于跟踪视频中选中的目标-pf for tracking
fpga
- 基于现场可编程门阵列( Fie ld Programmab le Ga teA rrays, FPGA )硬件平台和背景差分算法设计一个静态背景下 的视频移动目标检测与跟踪系统, 并详细给出系统的实现过程。检测结果表明: 采用FPGA硬件实现系统设计, 极大地提高了 系统的处理速度, 在静态背景下, 可以实时、准确地检测和跟踪到移动目标。-Based on field programmable gate array (Fie ld Programmab le Ga teA rrays,
b
- 基于视频的跟踪 ,介绍了粒子滤波器,以及用粒子滤波器算法的原理 -Video-based tracking, particle filters are introduced, and the principle of using particle filter
flash
- 该系统是在网博视频直播系统基础之上,加入文字语音聊天的功能。 该系统采用: Flash作为客服端,可嵌套进网页,访问者不用安装任何插件。 只要有客户访问某网页,系统会自动监控到有用户上线,系统自动语音提示客服人员对其跟踪客服。 服务器端采用:Fms2.0视频服务器系统。 Web端采用asp.net2.0技术 数据库采用mssql2000(DB_51aspx下为Sql数据库文件,附加即可)-The system is in the network video broadc
MovingTargetDetectionAndTracking
- 运动目标的检测与跟踪 跟踪使用meam shift方法完成的 视频图像时AVI格式-Moving target detection and tracking using meam shift method for tracking the completion of the AVI format video images
man_trace
- 单目视频中无标记的人体运动 跟踪.rar-Monocular videos unmarked human motion tracking. Rar
featuretracking_src
- 很好的跟踪源代码。基于meanshift跟踪,读取视频第一帧,手动选择目标。-Good tracking source code. Meanshift based tracking, the video read the first frame, manually select the target.
camshift
- 经典的camshift跟踪算法。读取视频,手动选择目标,可以直接运行。-Classic camshift tracking algorithm. To read videos, manually select the target, can be directly run.
IVS
- 打开一个图像或者视频文件,相应的轮廓检测功能,视频运动物体的跟踪功能-applications on image,tracking objects in the video
VideoDemo
- 使用帧差法实现对视频中运动物体的检测,根据其轮廓对其跟踪-using the frame difference to detect the moving object in video detection, tracking them according to their profile
Video_Demo
- 视频目标检测演示框架,视频演示算法包括: 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 -Framework for object detection video presentation, video presentation algorithms include: 1. Static background of the context of target detection pr
link_domain
- 视频检测与目标跟踪,读取视频文件,可以实现文件读取和目标检测与跟踪-Video detection and tracking, read the video file, the file can read and target detection and tracking
menul
- 根据视频对车辆进行手动跟踪。利用OpenCV实现mean-shift。-Video of vehicles based on manual tracking. Using OpenCV to achieve mean-shift.
shipinDetect
- 用C++语言编写程序,实现视频的检测,检测出运动目标,并用一定的算法将目标进行分离,最后跟踪。-Using C++ programming language to realize the detection of the video, detect moving targets and targets with a certain separation algorithm, the final track.
kalman
- kalman目标跟踪,从视频中提取图像序列。根据kalman滤波对运动目标理论进行跟踪-kalman tracking, extract images from video sequences. According to theory kalman filter to track the moving target
pritical
- 基于粒子滤波的视频目标跟踪技术研究论文,很详细了说明了-Particle filter based target tracking in video research paper, a very detailed descr iption of the