Fast and effective color-based object tracking by boosted color distribution

In this paper, we propose a novel tracking algorithm, boosted color distribution (BCD), for tracking color objects. There exist three contributions in this paper. First, we propose a novel online gentle boost (OGB) algorithm for online learning. The essential idea of OGB is composed of two aspects: online updating candidate weak classifiers, and then choosing and combining them in a boosting way. Second, we design a novel weak classifier, log color feature distribution ratio, which focuses on the difference of color distributions rather than individual samples and provides a simple yet effective manner of mining color features for object tracking. Third, by combining our OGB algorithm and our log color features, we develop a fast yet effective color-based object tracking algorithm. Numerous experiments demonstrate that our tracking algorithm is better than or not worse than some state-of-the-art tracking algorithms on some public sequences.Overall, this paper presents a novel BCD algorithm for color object tracking that achieves good results at a fast speed.     

An efficient quantum search engine on unsorted database

We consider the problem of finding one or more desired items out of an unsorted database. Patel has shown that if the database permits quantum queries, then mere digitization is sufficient for efficient search for one desired item. The algorithm, called factorized quantum search algorithm, presented by him can locate the desired item in an unsorted database using O( $log_4N$ ) queries to factorized oracles. But the algorithm requires that all the attribute values must be distinct from each other. In this paper, we discuss how to make a database satisfy the requirements, and present a quantum search engine based on the algorithm. Our goal is achieved by introducing auxiliary files for the attribute values that are not distinct, and converting every complex query request into a sequence of calls to factorized quantum search algorithm. The query complexity of our algorithm is O( $log_4N$ ) for most cases.     

计算机组装课的发展性评价

在现今我国的计算机领域的高等教育教学和职业技术教学中,有关计算机组装、维护的课程显得尤为重要,而如何的开展好这门课程一直是广大的教育工作者们关注的主要问题.     

浅析数据库数据模型及信息检索方法

本文介绍了多媒体数据库三种主要的数据模型,分析了多媒体信息的特点及对数据模型的特殊要求,论述了不同数据模型的实现途径,并提出了基于内容的信息检索的特点、体系结构和处理方法。     

A Local Semi-Implicit Level-Set Method for Interface Motion

This paper proposes and implements a novel hybrid level set method which combines the numerical efficiency of the local level set approach with the temporal stability afforded by a semi-implicit technique. By introducing an extraction/insertion algorithm into the local level set approach, we can accurately capture complicated behaviors such as interface separation and coalescence. This technique solves a well known problem when treating a semi-implicit system with spectral methods, where spurious interface movements emerge when two interfaces are close to each other. Numerical experiments show that the proposed method is stable, efficient and scales up well into three dimensional problems.     

面向数据分析的中文问句句法研究

本文以面向数据分析为基本思想,同时结合相似度概率评估技术,实现中文问句句法分析。对于输入问句,首先需要经过词汇层与词性层以及句型和疑问词初选得到片段;然后,基于已构建的数据库,对词汇词性序列的子序列搜索片段,进行片段组合;最后,对输入语句与初选结果进行相似性评估,完成输入语句的组合分析过程。为论证方法有效性,基于200句山西旅游问句做实验。实验结果表明,句法分析的准确率达到96%。     

圆锥裁剪BLOB的视频目标检测方法

真实场景的视频目标检测需要消除阴影、反射和鬼影等噪声的影响,以检测出运动目标和静止目标.为了实现系统性的视频目标检测,提出一种自适应圆锥裁剪联通块(TC-BLOB)榆测方法.基于BLOB知识,将3D颜色空间变换为"夹角-模差"2D空间后,定义一套圆锥裁剪规则划分出阴影BLOB和反射BLOB;再以一种持久化记忆PM方法判别出鬼影BLOB;最后改进双背景模型检测出静止目标和运动目标.采用不同环境视频进行实验的结果表明,文中方法足有效的,并有独立于后续跟踪的优点.     

基于关系数据库的实时数据压缩探讨

基于关系数据库,探讨实时数据在关系表中的压缩存储和访问技术.采用Oracle数据库内部语言,对给出的压缩方法加以实现.程序运行结果表明,针对大量的实时数据具有良好的压缩效果,压缩后数据量急剧减少,在数据时间间隔频率不高和采集点数较少时,给出的方法可作为实时数据库的替代方案.     

多维QoS在基于MOM的QoS管理模型中的应用

服务质量QoS管理是满足分布式环境中端到端QoS需求的关键,而中间件是一种分布式系统中的主要交互平台.首先对中间件和QoS的相关概念进行介绍,在分析传统QoS管理模型的基础上,提出一种基于消息中间件(MOM)的QoS管理模型,重点分析多维QoS在该模型中的应用,最后结合一个实例说明多维QoS在实际系统中的应用.     

基于JXTA平台P2P节点甄别的信誉机制研究

在分析P2P网络节点安全问题和JXTA平台具有的安全机制的基础上,构建一个基于JXTA的以节点甄别为目标的安全网络环境,并提出了一种基于信任和推荐的新型信誉模型.分析证明,该信誉模型通过采用信任和推荐两种机制来确定节点的信任度,成功地避免了单点失效问题并有效地遏制了P2P系统中虚假节点的欺骗行为.