基于...

The paper includes the constitutes of system hardware, image pretreatment, the achievement of parameter detection artithmetic. The main work is as follow: The pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. Using this method we may get different grey vehicles from the background exactly. Used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition; Improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines; And to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization; In the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates.

本文根据智能交通控制与仿真对于交通流量、车辆到达率、车辆速度等交通信息检测的需求，基于视频图像进行了交通信息处理的算法研究与实现，主要工作包括以下几个方面：将先锋遗传算法应用到图像阈值分割中，利用先锋遗传算法寻求全局最优阈值，可以比较准确的将图像中不同灰度的车辆从背景中分离出来；采用支持向量机理论进行了车辆自动分类的仿真研究，仿真结果证明该方法能够比较准确的将车辆的类型进行识别；改进了基于背景自动更新的虚拟检测区域算法，提高了车辆检测的实时性和准确性；并对基于虚拟检测区域的图像处理算法实现进行了详细说明；论文中还介绍了基于灰度连续性的运动车辆特征提取算法进行车辆的特征提取以及采用彩色过滤器同灰度图处理相结合的定位方法进行车辆牌照定位的实现方法。

This paper founds a bidding strategys frame based on the game theory. This paper combines the game theory and the principal-agent theory and expounds the cost-plus based on the bidding and the bidding based on the contract.

本文建立了一个基于博弈论的招投标机制设计的研究框架，从而为招投标机制设计提供了一个规范的分析思路；另外本文还将完全信息动态博弈与委托—代理理论结合起来，开创性的提出了基于招投标机制的最优成本补偿合同和基于合同的招投标模型，不仅可以包括线性合同的激励，而且还能解决基于博弈论的非线性激励合同问题；在提出的相似标的概念基础之上，本文还综合了相关模型，针对相似标的的特点，给出了几个相似标的的招投标模型。

According to the organization unit and role based resource modeling, we put forward a corresponding resource allocation strategy, i. e. EDD and workload based resource allocation strategy. In the paper we also give the workload based resource selection algorithm, EDD and workload based deadlock detection algorithm, and unlocking method.

根据资源的基于角色和组织单元的建模方法，我们提出了相应的资源分配策略，采用基于EDD和工作量的资源分配策略，并提出了基于工作量的资源选择算法、基于EDD和工作量的死锁检测算法和解锁方法。

There are four categoriesabout the method of magnetic field : base on law of electromagnetic induction, the methods of measurement based on mechanical, base on magnetic field effect, based on the magnetic resonance method.

磁场测量的方法主要有四类：基于电磁感应定律的方法，基于力学测量的方法，基于磁场电效应的方法，基于磁共振的方法。

Based on the designing task, the paper gives a comparative analysis of current fault diagnosing methods such as reasoning-based, model-based, artificial neuron-based and case-based, The paper presents an intelligent diagnosing system composed of expert system and virtual apparatus where virtual apparatus is used as man-machine conversation interface to collect data and call expert-system and expert-system is the core for diagnosis analysis, elementally projecting the diagnosis system.

根据设计任务的要求，对现有的故障诊断方法：基于推理的方法、基于模型的方法、基于人工神经网络的方法、基于案例的方法等方法进行了对比分析，提出了以虚拟仪器作为人机对话界面及接收采集数据部分，专家系统作为诊断分析部分的核心，虚拟仪器调用专家系统进行分析的智能故障诊断系统，即专家系统加虚拟仪器的诊断系统。

In practice, there exists all kinds of emolument system and they can be concluded into four modes: post-based mode, performance-based mode, skill-based mode and market-based mode.

在实践中，存在着各种各样的薪酬制度，这些制度大致可以归纳为四种模式：基于岗位的薪酬模式、基于绩效的薪酬模式、基于技能的薪酬模式、基于市场的薪酬模式。

Study On Attention Resource Effect Of Event-based Prospective Memory Abstract Prospective memory refers to the memory of what will happen in the future. The conception of prospective memory exceeded the scope of memory's definition by traditional psychology, and extended the field of memory research.

基于事件前瞻记忆任务中的注意资源效应前瞻记忆是指对将来发生事件的记忆，包括基于事件的前瞻记忆、基于时间的前瞻记忆和基于活动的前瞻记忆三种基本的形式。

It is the first important step in video analysis and will directly affects the effectiveness of indexing Shot boundary detection is one of our major research interests and we will tackle the following existing problems the ambiguity between gradual change and camera motion, the discontinuity during gradual change, false detection caused by illumination variation and flashlight, automatic threshold selection Firstly, we discuss shot boundary detection in non-compressed domain In chapter 2, we compare some of the commonly used detection methods which are based on frame difference and point out that single feature will not generate good results As a conclusion, we use fuzzy logic to combine multiple features Presently, most frame difference based shot boundary detection algorithms rely on threshold and hence the selection of such thresholds will greatly affect the performance of boundary detection We propose a membership function to define frame difference and calculate the membership with self adaptation according to the statistic distribution of frame differences to satisfy different type of video clips Experiments show that the proposed fuzzy shot boundary detection algorithm can be used with different video types and has a high detection precision and recall In chapter 3, we discuss model-based shot boundary detection algorithms regarding chromatic and spatial editing effects such as fade-in, fade-out, dissolve and wipe Various parameters are proposed to better describe the characteristics of each editing type.

镜头边界的检测是把视频自动地分割为一个个镜头，作为基本的索引单元，因此它是视频分析重要的第一步，直接影响到视频检索的成败。镜头边界的检测是本文研究的重点之一。目前镜头边界检测算法主要存在以下问题：渐变与镜头运动难以区别；渐变过程中的不连续与停顿、光照条件的变化及闪光灯等特殊情况会引起误检测；自动选择阈值比较困难等。本文首先针对非压缩域视频进行了镜头边界检测的研究。在第二章中我们采用了比较流行的基于帧间差的方法。在比较各种帧间差计算方法的基础上，指出使用单一的特征难以取得很好的检测效果，提出用模糊逻辑综合使用各种特征。目前大多数基于帧间差的镜头边界检测算法都采用阈值法进行镜头转换的判别。阈值选择的误差对检测性能有较大的影响，本文提出用隶属度函数定义帧间差较大、中等较大和较小等概念，并根据帧间差的统计分布自适应地确定隶属度，以适应不同类型的视频片断。实验结果表明这种基于糊逻辑的镜头边界检测算法可以适应不同的视频，并具有较高的检测精度和检出率。在第三章中采用基于模型的方法进行镜头渐变的检测，研究了淡入／淡出、慢转换和扫换的模型。

A new single image super-resolution reconstruction algorithm is presented based on projection. Using the Kronecker product of two matrices, the vector based observation model is converted to an equivalent matrix based model.

目前，已提出了各种图像超分辨率算法，其中较经典的有频域法、MAP方法、极大似然估计法、凸集投影P(CS方法以及基于相机成像模型的迭代算法[3]，近年又发展了基于小波l_4_、基于学习及基于识别等的新算法。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究，主要包括：首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法，改进了均值迁移方法步长取值保守的弱点，建立了快速均值迁移方法，证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法；进行了平面和3维随机分布数据集的最大概率密度搜索对比试验，试验结果表明，快速均值迁移方法大大减少了迭代次数；建立了基于快速均值迁移的目标跟踪方法，利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像，对人脸和汽车目标跟踪性能分别进行了对比试验，并进行了高噪声人脸图像目标跟踪试验，结果表明，基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能，具有很强的抗干扰能力；建立了一种新型彩色目标自动识别方法，采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算，建立了高效的搜索方法，实现了彩色目标的快速识别；将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合，建立了带有控制系统的快速目标自动识别与跟踪系统，并在不同场景下进行了目标自动识别与跟踪试验，验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。