搜索资源列表
StereoVision实现OpenCV、OpenGL、VS2008混合编程
- 实现OpenCV、OpenGL、VS2008混合编程,输入校正后的图像对,使用立体匹配算法计算其视差图,最后用OpenGL进行三维重建。-Achieve OpenCV, OpenGL, VS2008 hybrid programming, enter the corrected image pairs, the use of stereo matching algorithms to calculate the disparity map, and finally with OpenGL thr
gmm
- 混合高斯算法实现及一些自己对高斯混合模型的理解。-Gaussian mixture algorithm and some experience
mt1
- 基于openCV的混合高斯算法,实现了入侵检测的功能。-OpenCV algorithm based on Gaussian mixture to achieve intrusion detection function.
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型,使用到MOG2。算法快,并且可以进行阴影检测。遍历性:对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
gaosihunhemoxing
- opencv 基于高斯混合模型的运动目标检测算法-opencv Gaussian mixture model based moving object detection algorithm
code_june2010
- 多摄像机多目标跟踪算法, 具体包括混合高斯背景建模, distancemap团块映射, 粒子滤波跟踪, 匈牙利算法信息融合等.-multi camera tracking
Gaussian-mixture-model
- 混合高斯模型GMM EM算法,建模效果好,可以用于行为识别-Gaussian mixture model GMM EM algorithm, modeling effect, can be used for behavior recognition
image-mixing
- Visual C++2010下使用opencv2.4.8进行的图像混合的算法-Using opencv2.4.8 Visual C++2010 image algorithm
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法,有背景模型算法,混合高斯模型算法,帧差法,经典的CB法,所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method