The structure method of background value in grey system GM(1,1) model is considered to have an important influence on the adaptability and precision of GM(1,1) model.
灰色GM（1，1）模型中的背景值构造法是影响模型适应性和精度的关键因素。
Taking the method of adaptive Gaussian mixture method can make model for background meanwhile it is a difficult point to maintain and update background model.
采用自适应高斯混合方法为背景建模的难点是对背景模型的维持与更新。
After a brief introduction of the background, the paper focuses on the working principle of this model, and discusses the basic design method of client and server applications in a form of algorithm.
本文在简单介绍提出这种模型的背景之后，着重论述了它的基本工作原理，并以算法的形式讨论了客户程序和服务器程序的基本设计方法。
Secondly, Deleting background model and binarization model are established, and the mass center of object is searched and computed based on method of moment.
然后建立去除复杂实际背景和自适应二值化的动态图象预处理模型，并根据矩法搜索和求取目标质心；
We propose a dynamical method of renovating the model of background, and provide a better solution to the problem of video shaking unsteadily captured by camera.
提出了一种动态更新背景模型的方法，并针对高架摄像机的抖动问题做了优化。
This paper introduced the research background and thought of Layer Model Method.
文章介绍了层次模型法的研究背景和研究思想。
The paper advances a new method, using sin function to deal with sequence, structuring background value approximately, building corresponding metabolism model.
本文提出一种方法，采用正弦处理建模序列，对背景值进行近似构造，最终建立相应的新陈代谢模型。
Temporal difference as a efficacious method, is the primary content of the discourse. We will detailedly research the method of time average and pick-up background base on gauss model(s).
背景差法作为检测前景目标的一种有效方法，是本课题研究的重点内容，将分别对背景差法中的时间平均法和基于单（多）高斯模型的背景提取法进行详细研究。
Firstly, the human region is extracted from the image by the background subtraction, then model-based and none model-based method are applied to track human motion from body parts to whole body.
首先经过背景去除，把感兴趣的人体目标从图像中提取出来，然后采用基于模型的和非基于模型的两种方法对人体的局部和全身运动进行了跟踪。
It summarizes the research actualities of logistics, e-commerce and logistics model, introduce the background, purpose, method of logistics model under thee-business environment.
主要对物流、电子商务和物流模式等理论的国内外研究近况进行了综述，介绍了电子商务下物流模式的研究背景、目的以及策略。
Firstly, a background estimation method based on small window and two dimension median filter is presented after detail analysis of the model of small infrared target, noise and clutter.
首先分析了红外小目标、噪声及其杂波特性，提出了用小窗口的二维中值滤波进行背景估计；
This paper proposes an improved background subtraction method based on Gaussian mixture background model which can not deal with the problem of scene light rapid change.
文中针对混合高斯模型不能应对光线突变的问题，提出了一种改进的背景模型。
The system is developed by object-oriented method, and modeled by UML. According to E-R model analysis, the background database is established.
系统采用面向对象的开发方法，用uml建模语言将系统需求模型化，并根据E - R模型分析结果建立后台数据库。
Secondly, a model predictive control method is designed for the satellite formation keeping and formation of invariant angular to the ground as the background.
其次，针对编队飞行卫星队形保持控制，以对地等张角绕飞编队为背景设计相对轨道模型预测控制算法。
Secondly, a model predictive control method is designed for the satellite formation keeping and formation of invariant angular to the ground as the background.
其次，针对编队飞行卫星队形保持控制，以对地等张角绕飞编队为背景设计相对轨道模型预测控制算法。
应用推荐