搜索资源列表
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2下载：
核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.-nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.
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关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
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混合高斯模型，用于背景建模的程序，使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
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用OpenCV实现的GMM背景建模，自己写的，一直在使用,Background modeling based on GMM(Development Environment: VC, OpenCV)
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采用卡尔曼滤波进行背景建模再作差分的方法的车辆检测程序，用到了opencv库-Kalman filter for background modeling method further differential vehicle testing procedures, use the opencv library
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混合高斯背景建模的实现程序,Matlab编写,运算速度极慢，但可作为理解算法的示例代码.系作者参加SJTU PRP项目时所写。此代码已在原项目中不再使用。-The realization of Gaussian mixture background modeling procedure, Matlab writing, computing speed is very slow, but the understanding of the algorithm can be used as sampl
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本码源是针对于单高斯模型算法做的运动目标检测，其中实现了背景建模、背景更新和目标检测的步骤实现。-The source code is in the single-Gaussian model for the algorithm to do the moving target detection, in which the realization of the background modeling, background to update and steps to achieve targe
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实现高斯背景建模，并且提取运动目标。具有良好的适用性-Gaussian background modeling to achieve, and extract the moving target. Good applicability
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视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。-Background and Foreground Modeling Using
Nonparametric Kernel Density Estimation for
Visual Surveillance
AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND
LA
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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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针对基于可见光视频图像处理的水上弱小目标检测中存在的问题， 综述目前该领域的国内外研究进展， 从动态背景建模 前景目标检测和跟踪等方面分析各种方法 算法的优势和不足， 指出目前需要解决的问题， 并展望该领域的研究前景-In view of the problems existing in small and weak target detection on the sea surface based on
visible light video image processing，the re
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区域相关的核函数背景建模算法Region the nuclear function of background modeling algorithm-Region the nuclear function of background modeling algorithm
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实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪。-The vehicle to achieve the target of the background modeling, foreground detection, shadow elimination, vehicle tracking.
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用平均值法对图片序列经行背景建模，并保存。-Method of image sequences with the average background modeling by the line and save. （Attached picture)
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一个用cmu开发的车辆检测和跟踪的程序，本程序实现了背景建模，运动检测，跟踪，以及车辆和行人标注的功能。-Cmu development of a vehicle with detection and tracking procedures, the procedures to achieve the background modeling, motion detection, tracking, and vehicle and pedestrian marking function.
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背景建模 前景提取 前景识别 matlab程序-Background modeling prospect identification matlab program to extract foreground
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高斯背景建模源代码，实现背景建模，但前景处理效果不好-Gaussian background modeling source code to achieve the background modeling, but the outlook is not good treatment effect
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基于混合高斯背景建模的背景差分视频目标检测方法。matlab代码-Video target detection method based on Gaussian mixture background modeling background difference. matlab code
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通过对序列图像进行混合高斯建模，分离背景和前景目标。-Gaussian mixture modeling of image sequences, separation of background and foreground objects.
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该代码是基于背景建模的粒子滤波算法程序，代码可以运行，且效果很好。-The code is the procedure of particle filter algorithm based on background modeling, the code can be run, and the effect is very good.
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