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GMM
- 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
ComputerVision
- 视觉大师张正友的经典著作，主要论述了计算机视觉相关问题，例如摄像机标定，立体匹配，三维重建，运动跟踪-Visual Master Zhang is the Friends of classics, mainly discusses the computer vision-related issues, such as camera calibration, stereo matching, three-dimensional reconstruction, motion tracking
Motion-Detection-video
- 较简易的视频目标跟踪算法，有需要的朋友可参考-Than simple video target tracking algorithm, there is a need to refer to a friend
HumanTracking
- 人体运动跟踪源代码，经过测试可以使用，基于opencv实现实现的，简单实用-Human Motion Tracking source code through the test could be used, based on the opencv implementation to achieve, simple and practical
Camshift-tracking-system
- Camshift运动物体识别跟踪与控制鼠标-Camshift motion tracking and control of the mouse object recognition
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -OpenCV-based motion tracking sys
motion
- 这是关于运动视频处理的电子书，包含了运动检测和跟踪的算法理论知识-This is the video processing on the movement of e-books, includes a motion detection and tracking algorithm theoretical knowledge
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
kamanlvbogenzong
- Ka lman 滤波的人体运动位置跟踪算法。基于视频的人体运动跟踪是当前计算机视觉研究的热点, 具有广泛的应用领域. 文中提出 一种基于Kalman 滤波的跟踪算法. 合理使用自适应背景颜色模型, 能够准确地对人体运动位置进 行跟踪-Ka lman human filtering algorithm to track the location of sports. Video-based human motion tracking is the current research on c
motion
- 运动物体检测跟踪程序，集成了几种跟踪算法，包括meanshift等-Detected moving object tracking process, a number of integrated tracking algorithm, including such meanshift
trackingedited
- Motion tracking, contains differential motion analysis basedm motion tracking codes developed on matlab.
motionestimation
- matlab做的运动估计，用于图像处理中图像追踪等（仅供大家参考）-Motion Estimation using matlab, for motion tracking in digital image processing
ParticleTracking_new
- 粒子滤波法（particles filter）实现的运动跟踪算法。需要在初始的时候设置一些参数，运动目标需要在程序开始运行之前指定其位置和大小。-Particle filtering (particles filter) to achieve motion tracking algorithm. The time needed to set some initial parameters, moving targets need to run before the beginning of th
VCOPENCV
- VC与opencv环境下人脸角点检测与运动跟踪-VC environment with the opencv Human Face detection and motion tracking Corner
ObjectTracker
- 使用OPENCV进行运动目标跟踪，在Visual C++ 2005 环境中使用新算法实现多运动目标的跟踪和检测。-this is a object motion tracking system with Visual c++ 2005 and opencv。it can process successly check and track multi-objects。
xtouying
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
opencv-detect
- opencv图像处理， 运动视频图像跟踪-Opencv image processing, video motion tracking
motion-tracking-and-implementation
- 目标跟踪是计算机视觉的一个重要分支,日益广泛应用于科学技术、国防安全、航空、医药卫生以及国民经济等领域。实现目标跟踪的关键在于完整地分割目标、合理提取特征和准确地识别目标,同时,要考虑算法实现的时间,以保证实时性。当视频图像中被跟踪目标发生姿态变化,存在旋转或部分遮挡时,简单的灰度模板或者Hausdorff距离匹配一般很难达到实时跟踪目标的要求,出现误匹配或者跟踪丢失的情况,而且跟踪效率较低。Gary R.Bradski提出的CAMSHIFT[1](Continu-ously Adaptive
optical-flow-motion-tracking
- 利用matlab实现了基于光流的运动估计-optical flow motion tracking
Human-Motion-Tracking
- opencv 实现人体运动跟踪，精度中等，有一定的参考价值。-opencv schieve human motion tracking, accuracy is only moderate, there is some reference value.