Description: 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion Platform: |
Size: 3072 |
Author:程序猿 |
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Description: 混合高斯背景建模C++源程序
在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。-Before the the mixed Gaussian background the modeling C++ source. During foreground detection, background training, each background image using a Gaussian mixture model simulation, adaptive Gaussian mixture number of each background. Platform: |
Size: 7168 |
Author:sjtu-lsz |
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Description: 针对视频序列运动目标检测，用vc++实现快速高斯混合建模进行前景背景的分离。-In motion object detection of video sequence, with vc++ realize rapid gaussian mixture model carries on the separation between foreward and background. Platform: |
Size: 7168 |
Author:lijingyi |
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Description: 基于混合高斯模型的算法，我们可以利用该算法提取前景，检测背景！-Gaussian mixture model-based algorithm, we can take advantage of the the algorithm extracted prospects, detect background! Platform: |
Size: 1024 |
Author:林雪 |
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Description: 混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频-The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video Platform: |
Size: 626688 |
Author:李晓丹 |
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Description: 高斯混合模型实现视频图像的背景和前景的分离。输入为视频文件或者计算机上的摄像头。-Gaussian mixture model the background and foreground of the video image separation. The input video files or computer camera. Platform: |
Size: 1024 |
Author:rosy |
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Description: 读入avi,利用混合高斯模型，检测出运动的前景和背景信息。VS2008+opencv2.4.3-Read into avi, Gaussian mixture model to detect the movement of the foreground and background information. VS2008+opencv2.4.3 Platform: |
Size: 1024 |
Author:刘一方 |
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Description: 通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background Platform: |
Size: 1024 |
Author:古北出 |
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Description: 不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elementary usage:
GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of
clusters. Algorithm follows steps outlined in Bishop
(2009) Pattern Recognition and Machine Learning , Chapter 9.
Additional inputs:
bn_noise- allow for uniform background noise term ( T or F ,
default T ). If T , relevant classification uses the
(k+1)th cluster
reps- number of repetitions with different initial conditions
(default = 10). Note: only the best fit (in a likelihood sense) is
returned.
max_iters- maximum iteration number for EM algorithm (default = 100)
tol- tolerance value (default = 0.01)
Outputs
idx- classification/labelling of data in X
mu- GM centres Platform: |
Size: 3072 |
Author:朱魏 |
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Description: 文章通过设计战场电视侦察系统的智能视频处理模块，提高了战场电视侦察系统的工作效率和智能化水平。首先
分析对重要军事目标进行监控的特点，归纳运动目标的特征，根据特征建立正常模型；然后运用中值滤波对监控视频进行
预处理，再采用基于高斯混合模型的背景减除法提取运动目标，通过特征提取确定运动目标的属性，与正常模型进行匹配
处理后，得出运动目标是否异常；最后达成敌重要目标有异常出现时自动告警的目的-Abstract：This article designs the intelligent video processing module of battlefield investigation TV system, and raises the
efficiency and the intelligent level of it. At first, we analyze the traits of the important military target, summarize the
characteristic of the moving objects, and build the normal model according to the characteristic after the median filtering
pretreatment of the surveillance video, we need to minus the extracted moving object using the background based on the
Gaussian mixture model, define the attributes of the moving object based on feature extraction, and conclude whether it is
abnormal after matching with the normal model at last, achieve the aim of automatic alarming when the important enemy
target abnormality appears. Platform: |
Size: 328704 |
Author:cp |
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Description: 了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP)
特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Tracking process to adapt to changes in the target lighting conditions, and the target feature for online updates, proposes a local binary pattern (LBP) features and image intensity information integration, combined with incremental linear discriminant analysis for target tracking algorithms. Track begins, in order to obtain a more accurate description of the objectives, the use of Gaussian mixture models and expectation maximization algorithm for target segmentation tracking process, through the Monte Carlo method of the target area and the background area sampled and updated feature space parameters. Get the optimal target and background classification surface finally Using Particle Filter optimal classification predict the state of the face of goal. By varying illumination simulation video and natural scenes video tracking experiment to verify the effectiveness of the proposed algorithm. Platform: |
Size: 608256 |
Author:wenping |
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Description: 混合高斯模型，用于多模态场景中的背景前景检测，还特意实现了RGB前景目标的显示，用vs2010+opencv2.3.0开发-Used for background modeling, the gaussian mixture model can display the backgrounds, prospects. Can be used for multimodal, Platform: |
Size: 27008000 |
Author:chenfang |
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Description: 本程序采用matlab编码，一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能，代码检测易懂，适合初学者多多借鉴~-This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways to achieve infrared target detection capabilities, code detection understand for beginners learn a lot ~ Platform: |
Size: 23785472 |
Author:Leo |
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Description: 混合高斯模型在运动检测中的应用，检测视频中的运动物体，做出其背景图像和前景图像-Gaussian mixture model in motion detection to detect moving objects in the video to make the background image and the foreground image Platform: |
Size: 1024 |
Author:张茂华 |
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Search - Gaussian mixture background