搜索资源列表
MovDetect
- 基于复杂背景，单运动目标的检测，原始混合高斯模型背景更新与检测-Based on complex background, a single moving target detection, the background of the original Gaussian mixture model updated with the detection
T1001ziph
- 这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。 -This is a detailed introducer face detection and voice-driven lip article, which makes use of a Gaussian mixture model to take unsupervised clustering methods, hope useful for you.
TGMMMrarh
- 本混合高斯模型是一种基于opencv的，运用用了系统自带的检测函数，检测效果较好.欢迎切磋! -Gaussian mixture model is based on the opencv, the use of the system comes with the detection functions, better detection. Welcome to learn!
Gcvrara
- 混合高斯模型车辆运动检测 [VVisual C++]检测效果不错 -Gaussian mixture model vehicle motion detection [VVisual C++] detected well
gaosi1(1)
- 高斯混合模型进行背景建模，实时获取摄像头的视频进行运动目标检测-Gauss mixture model for background modeling, real-time detection of the video camera is used for moving target acquisition
work
- 实现利用高斯混合模型方法对工业过程故障检测，稳定、可靠。-Gaussian mixture model fault detection
dd_ex6
- 高斯分布混合监督之间的区别，训练三个分类器。检测异常。-The distinction between mixed Gaussian distribution supervision, training three classifiers.
opencv
- 运用高斯混合背景法对背景建模的背景差分法运动目标检测。-Background method using Gaussian mixture background modeling background subtraction method to detect moving targets.
gsbg
- 混合高斯背景建模，单高斯背景建模，人脸检测，人眼检测，希望能够有所帮助-mixture gausion back model,angle gausion back model, face detection, eye detection
videotrafficgmm
- 红外视频运动物体目标跟踪及检测——高斯混合模型-Gaussian mixture model approach
GMM
- 混合高斯背景建模,检测效果很好，拖尾现象几乎没有。-background modeling
VIBE-master
- Vibe算法实现目标跟踪，目标检测,比混合高斯模型速度更快更准确-Vibe algorithm target tracking, target detection, faster and more accurate than Gaussian mixture model speed
基于高斯混合模型的红外目标检测算法研究
- 目前图像处理技术已经广泛应用于人们生产生活的各个方面，对于相关技术的研究具有广泛的研究意义和应用价值，本文中研究的主要内容为基于混合高斯模型的红外图像运动目标检测算法研究及实现。(All aspects of the image processing technology has been widely applied in people's life and production, has wide application value and research significance for
GMM
- 混合高斯算法，用opencv3实现，用于对运动目标进行检测 效果还算是不错的，代码通俗易(Hybrid Gauss algorithm)
mixture_of_gaussians
- 采用高斯混合模型来对目标进行前景检测，并用MATLAB实现。(The Gauss mixture model is used to detect the foreground of the target, and it is implemented by MATLAB.)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)
multiObjectTracking
- 该程序是用混合高斯建模+卡尔曼滤波实现，结果依赖于前景检测效果，结果效果较好，但背景干扰较多。(The program is to use mixed gaussian modeling + kalman filter implementation, the result depends on the foreground detection results, the effect is better, but more background interference.)