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- 用vs2010+opencv2.4.9做的粒子滤波灰度视频目标跟踪，框架完整，同版本下可直接运行，跟踪效果一般-Vs2010+ opencv2.4.9 do with particle filter gray scale video object tracking, frame integrity, and can be run directly under the same version, tracking the general effect
ImageEN-5.2.0
- 支持D5-XE7，功能非常强大，甚至可以做人脸、人眼识别跟踪、视频播放、摄像头控制、图像对比、图像加解密等，常用的图像处理功能更不在话下，处理效率极高，Demo也相当详尽。我一直在DelphiXE2下使用，下载包内包含了全部源码、帮助文档 、安装方法、Demo下载链接（因Demo太大只提供了下载链接，请需要的朋友自行下载）-Support D5-XE7, very powerful, even a man can face, the human eye identification and tr
blobtrack
- 视频中运动物体的跟踪，可用vs2010+opencv1.0运行。（注意opencv在vs中的配置，注意配清楚，才可正常运行代码）-Tracking moving objects in video, available vs2010+ opencv1.0 run. (Note that in vs opencv configuration, with attention to clear, before running the code)
61IC_H4848
- 以设计一个实时的人体检测与跟踪系统为目的, 从实际出发, 以O p en C V 为工具... 在满足了识别要求的前提下, 大大提高了识别的速度, 再一次提升了系统的实时性基于opencv的人体动作的识别，可以对视频中的人体动作进行分类处-Next in order to design a real-time human detection and tracking system for the purpose of proceeding reality to O p en CV as a t
background-segmentation
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg221.【高斯处理视频并跟踪运动做前景背景分割】bgfg2-Gauss processing video and tracking motion foreground background segmentationGauss processing video and tracking motion foreground background segmentation
mixture_of_gaussians
- 计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行
background-subtract--of-gauss
- 混合高斯背景建模程序，实现视频图像实时背景建模和目标跟踪-Gaussian mixture background modeling procedures to achieve real-time video image background modeling and target tracking
PhoneSafe_aqws
- 安全卫士源码是一套基于安卓的安全卫士项目源码，有包括杀毒、防盗追踪、通话管理、短信管理、文件管理、软件管理、权限管理在内的所有功能。不得不吐槽的是，目前网上的安全卫士这一类的项目源码90 都是来自于黑马的毕业生作品，因为黑马有一个这个项目的系列教程,小编为了方便大家也找了找教程，提供完整的65节课开发视频教程。-Security guards source is a set of Android based security guards project source code, includi
TutorialObjectTracking-master
- 在安卓系统上演示如何对摄像头输入视频进行目标跟踪-Demonstration on how to perform object tracking live video streams on the desktop and Android devices.
FeatureTracker
- OpenCV2例程视频中的特征点运动轨迹跟踪-OpenCV2 routine video feature point trajectory tracking
Optical-flow
- LK光流，快速检测视频中的运动物体，并实现追踪预测-LK optical flow, fast detection of moving objects in the video, and realize the tracking prediction
GuoC
- 采用梯度分布直方图的算法，自动识别视频文件中的人体，并通过蓝色方框标识出，能够实时识别，追踪显示-Gradient histogram algorithm that automatically identify video files in the human body, and identified by a blue box, real-time identification, tracking display
tingfao
- matlab编写的元胞自动机，均值便宜跟踪的示例，实现了图像的灰度化并进一步用于视频监视控。- matlab prepared cellular automata, Example tracking mean cheap, Achieve a grayscale image and further control for video surveillance.
opencvCar
- 本程序开发环境：vc和opencv 整体功能：是为了实现车载视频中车牌自动跟踪，检测，，定位，识别，视频中物体的跟踪必须是手动圈住才行，摄像头使用的是usb摄像头. 打开摄像头，可以看到视频中画面，移动鼠标圈住物体，可以自动跟踪。-This program development environment: VC and opencv The overall function: in order to realize the video vehicle license plate auto
kaerman
- 卡尔曼滤波器实现的视频目标跟踪程序，对于理解该滤波器有重要作用-Calman filter implementation of the video target tracking process, for the understanding of the filter has an important role
detectAndTrackFaces
- This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are im
Object__Tracking
- This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are im
track
- 【highspeedlogic】matlab代做，基于高斯混合算法的视频目标跟踪算法的仿真-[matlab] highspeedlogic generation to do, based on the Gauss hybrid algorithm for video target tracking algorithm simulation
camshift
- 实现视频图像的目标快速跟踪。使用了camshift和kalman滤波算法。实时性不错，代码简单。-Video images of fast target tracking. Use the camshift and kalman filtering algorithm. Timeliness good, simple code.
fengqai_v54
- 多目标跟踪的粒子滤波器，匹配追踪和正交匹配追踪，实现了图像的灰度化并进一步用于视频监视控。- Multi-target tracking particle filter, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.