Description: 首先采用灰度投影匹配进行全局运动估计和补偿，用以消除背景变化的影响；然后由二次差分抽取中间帧解决遮挡问题，通过Fisher 评价函数结合数学形态学填充得到运动对象分割掩膜，同时消除残余噪声以及平滑边缘。该方法在一定范围内较好地解决了遮挡问题，并能够高效快速地得到比较精确的视频对象。-first used for overall projection matching motion estimation and compensation, in order to remove the impact of changes in background; then by the second difference from the middle frame settlement block, Fisher evaluation function by combining mathematical morphology be filled Moving Object segmentation mask, while eliminating residual noise and edge smoothing. The method in a certain range to help solve the problem of shelter, and to the rapid and efficient access to more precise video objects. Platform: |
Size: 303104 |
Author:李杰 |
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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: In this paper we present a scheme for integrating a digital stabilizer with video codec of a digital video camera. This integration achieves computational efficiency without affecting the performance of video coding and digital stabilization. The proposed scheme achieves this by confining the global motion estimation to within a small background region determined by clustering the motion vectors generated by the video encoder.- In this paper we present a scheme for integrating a digital stabilizer with video codec of a digital video camera. This integration achieves computational efficiency without affecting the performance of video coding and digital stabilization. The proposed scheme achieves this by confining the global motion estimation to within a small background region determined by clustering the motion vectors generated by the video encoder. Platform: |
Size: 4096 |
Author:prasad |
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Description: 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
LARRY S. DAVIS, FELLOW, IEEE
Invited Paper
Platform: |
Size: 258048 |
Author:flora |
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Description: 视频跟踪检测 背景核密度估计建模，欢迎指正，-Detection of the background video track modeling kernel density estimation, please correct me, thank you Platform: |
Size: 1024 |
Author:陈偲 |
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Description: 提出了一种室内静止摄像机条件下的运动目标检测和阴影抑制方法。该方法采用一种自适应的背景估计方法来实时更新
背景,用基于概率分类法检测运动目标,并在联合HMMD色彩空间和光度特征来抑制阴影之后,用Sobel边缘检测来修正运动目
标。实验结果表明,该方法能够有效地检测运动目标和抑制阴影。
-An indoor stationary camera under the conditions of moving target detection and shadow suppression method. The method using an adaptive background estimation method to the context of real-time updates, with classification based on the probability of detection of moving targets, and in the United HMMD characteristics of color space and to curb the shadow of light, the use of Sobel edge detection of moving targets to fix. The experimental results show that this method can detect moving targets and suppression of the shadow. Platform: |
Size: 96256 |
Author:沛洋 |
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Description: Matlab 和 Simulink 开发视频和图像处理系统\视频读取并提取目标背景-Matlab and Simulink development of video and image processing systems \ video to read and extract the object-background Platform: |
Size: 63488 |
Author:zhulin |
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Description: 该方法可以用于复制场景的视频检测监控，采用灰度投影算法匹配进行全局运动估计和补偿，用以消除背景变化的影响；二次对称差分算法，用数学形态学对图像进行处理，该方法不受光线，摄像机抖动，场景等变化的干扰影响，具有较强的实时性，效果不错！-This method can be used to copy the scene of the video inspection and monitoring, using gray-scale projection algorithm to match the global motion estimation and compensation, to eliminate the background change second symmetric difference algorithm, using mathematical morphology image processing, the method not light, camera shake, scene changes and other disturbances, has a strong real-time, good results! Platform: |
Size: 303104 |
Author:hezz |
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Description: 摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包括
灰度变换、中值滤波、边缘检测和二值化；车牌定位包括车牌水平定位、车牌垂
直定位、颜色判断和细定位。
该定位系统是在C++Builder环境下实现的，针对不同大小车牌、不同光照条件
的1400张图片进行测试，其定位率可以达到92 以上；同时也将该算法封装成DLL
库，应用在雷达测试仪中，对各种光照条件下的视频流进行测试。测试结果证明
本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性
的要求，具有一定的应用价值。
关键词：车牌定位Run Length Tamura纹理-Abstract
As an important application form of target automatic recognition, vehicle license
plate recognition( LPR) technology is used in some fields, such as electron charging,
pass controlling and automobile stream supervising etc.
The paper introduces license plate location system based on the principle of Run
Length and Tamura texture feature. The system is developed based on video streams,
mainly includes vehicle motion region detection, license plate image processing, vehicle
license plate location. The detection of vehicle motion region uses the background
estimation methods based on the average of multi-frame license plate image processing
includes gray-scale transformation, median filtering, edge detection and binarization
the license plate location includes license plate horizontal location, license plate vertical
position, color judgments and accurate location.
The system is achieved in the C++ Builder environment, and it uses 1400 images
that are of different Platform: |
Size: 2509824 |
Author:王述 |
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Description: 均衡效果好，这是基于最大似然估计的均衡器-With the development of high-speed optical fiber communication systems, polarization
mode dispersion (PMD) has become a vital limiting factor. However, the traditional
compensation methods which in optical domain have the disadvantages of complexity and cost.
In recent years, the compensation methods which in electronic domain are given more attention
because of their outstanding price advantage and their strong adaptability.
The maximum-likehihood sequence estimation (MLSE) equalizer based on the Viterbi
algorithm was designed in this paper.The MLSE equalizer can effectively compensate the
intersymbol interference caused by polarization mode dispersion (PMD). First, the background
and the spectrum of the text were introduced also the principles of PMD and the FFE/DFE
equalizer were analysed. Second, the principles of Viterbi and the structure of MLSE were
researched also the MLSE equalizer was simulated with the Matlab program in the optical fiber
communication systems. T Platform: |
Size: 1383424 |
Author:心语蜗牛 |
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Description: This book provides an overview and introduction to signal detection and
estimation. The book contains numerous examples solved in detail. Since some
material on signal detection could be very complex and require a lot of background
in engineering math, a chapter and various sections to cover such background are
included, so that one can easily understand the intended material. Probability
theory and stochastic processes are prerequisites to the fundamentals of signal
detection and parameter estimation. Consequently, Chapters 1, 2, and 3 carefully
cover these topics. Chapter 2 covers the different distributions that may arise in
radar and communication systems. The chapter is presented in such a way that one
may not need to use other references Platform: |
Size: 4443136 |
Author:sas |
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Description: 本文分析了多级维纳滤波器的特性，在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下，对信源个数和信源参数估计问题进行了研究，提出了基于多级维纳滤波器前向分解特性的快速参数估计方法，同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法，该类方法无需协方差矩阵的估计运算及分解运算，计算复杂度较低。另外，还提出了对信源个数的估计算法。-This paper analyzes the characteristics of multistage Wiener filter, in the additive noise and the two-dimensional antenna array such as a uniform circular array, the uniform array, cross array conditions and background, the source number and source parameter estimation problem undertook study, put forward based on Multistage Wiener filter prior to the decomposition characteristics of fast parameter estimation method, at the same time based on Multistage Wiener filter 2D ESPRIT parameter estimation method, the method does not need to estimate of covariance matrix calculation and decomposition, relatively low computational complexity. In addition, also put forward for source number estimation algorithm. Platform: |
Size: 3484672 |
Author:于文娟 |
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Description: 图像处理双边滤波程序，需要动态的标准差矩阵，可用于背景估计和定位去噪-Image processing of bilateral filtering procedures, need dynamic standard deviation matrix, which can be used for background estimation, positioning denoising Platform: |
Size: 17408 |
Author:戴夏强 |
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Search - background estimation