Description: 基于openCV得高斯背景模型提取。需要openCV，内置测试视频-OpenCV based on a Gaussian background model extraction. Need openCV, built-in test video Platform: |
Size: 347136 |
Author:shzhq |
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Description: for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs Platform: |
Size: 20480 |
Author: |
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Description: 自适应核密度估计运动检测方法
提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模型和KDE分类结果, 来解决背景更新中的死锁问题, 同时检测背景的突然变化. 实验证明了所提出方法的适应性和可靠性.-Adaptive kernel density estimation method of motion detection of an adaptive kernel density (kernel density estimation, KDE) estimated motion detection algorithm. Algorithm first proposed an adaptive prospects, the background of the dual-threshold threshold selection method for pixel classification. The method used to overcome the dual-threshold single classification threshold shortcomings, the choice of threshold can be adaptive, and able to adapt to different scenes. On this basis, this paper, based on the probability of the background update model, in accordance with the probability of pixels to update the background, and take advantage of interframe differential background model and the classification results of KDE, to resolve the deadlock in the background update, while detection of abrupt changes in the background. Experiments show the proposed method of adaptability and reliability. Platform: |
Size: 1480704 |
Author:maolei |
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Description: get Physical HDD serial number without WMI许多人寻找一个模式，以保护他们的工作需要得到一些信息，这是硬件的特定内容，如MAC地址或某些硬盘驱动器的序列号。
Background背景
-get Physical HDD serial number without WMI many people looking for a model in order to protect their work need to be some information, which are hardware-specific content, such as MAC address or some hard drive serial number. Background Background Platform: |
Size: 37888 |
Author:mm |
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Description: 自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型-Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model Platform: |
Size: 2000896 |
Author:刘慧 |
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Description: 基于graphcut的背景建模程序，其中具备阴影去除功能，建模时对rgb三个颜色通道进行了高斯模型训练。程序需要OpenCV 1.0 的支持。-This is a C implementation of background subtraction given a set of background frames as a training set.The background model is per-pixel RGB space Gaussian, assuming independence between RGB channels.
OpenCV 1.0 is required for I/O purpose. Platform: |
Size: 14336 |
Author:taotaoking |
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Description: 利用opencv 的 高斯模型来进行背景建模，在背景变化不大的情况下工作的不错。最好能有几帧纯粹的背景用于建模，这样效果会更好。-build the background model using Gaussian in opencv. some static background will make it works better Platform: |
Size: 190464 |
Author:jiling |
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Description: 基于混合高斯模型的背景消除
利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to improve the update equation Platform: |
Size: 94208 |
Author:Lu |
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Description: 自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，-Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction, Platform: |
Size: 3947520 |
Author:kaka |
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Description: 混合高斯模型，建立背景模型，从而可以分离前景与背景-Gaussian mixture model, background model, which can be separated from foreground and background Platform: |
Size: 3786752 |
Author:jiangkaihua |
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Description: EM-GMM建立背景模型，用于运动物体检测，侵入检测等-EM-GMM background model set up for moving object detection, intrusion detection, etc. Platform: |
Size: 11583488 |
Author:sxw |
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Description: Motion Tracking
=== === ===
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.-Motion Tracking
===============
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m. Platform: |
Size: 36511744 |
Author:gobsy |
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Description: 基于混合高斯背景模型的背景剪除法，可以对背景进行实时的更新实现对前景的检测-Background model based on Gaussian mixture background pruning method, the background can be updated in real time to achieve the detection of future
Platform: |
Size: 1024 |
Author:景旭斌 |
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Description: 基于自适应背景模型的背景建模程序，包括图像滤波，图像增强，形态学处理和连通性分析等处理-Background model based on adaptive background modeling procedures, including image filtering, image enhancement, morphological processing and connectivity analysis process Platform: |
Size: 1024 |
Author:yangkai |
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Search - Background model