一种动态场景多运动目标的综合检测方法

提出一种动态场景下多运动目标检测的方法。该方法融合基于帧间图像差值的运动分割技术以及区域生长法来获得各运动目标的初始轮廓。再利用主动轮廓线模型进行优化，从而得到各运动目标的最优轮廓，该方法具有以下明显特点：允许背景任意复杂；在无补偿情况下仍能得到良好结果；目标大小不影响算法的鲁棒性．实验证明了该方法的有效性、实用性和鲁棒性。     

帧间差分与背景差分相融合的运动目标检测算法

针对视频序列中运动目标检测进行了研究,提出了一种将帧间差分和背景差分相互融合的运动目标检测算法,首先选取一帧作为背景帧,确立每一个象素点的高斯模型;然后对相邻两帧进行差分处理,区分出变化的区域和没有发生变化的区域,没有发生变化的区域更新到背景帧中,发生变化的区域与背景模型进行拟合,区分出显露区和运动目标,将显露区以很大的更新率收入到背景帧中。该方法允许在有运动物存在的情况下进行建模,实验表明该方法准确率高,运算速度快,能满足实时检测的需要。     

一种基于帧间差分与时空相关性分析的运动目标检测算法

分析现有复杂背景下运动目标检测与分割算法存在的不足,提出一种基于帧间差分与时空相关性分析的运动目标检测算法.结合帧图象中象素的空间相关性和帧间差分进行运动目标的分离,用序列图象中运动目标所具有的时间相关性来验证目标的真实性,剔除虚假的运动信息.实验结果表明,能较好地检测出目标,具有较好地抗干扰能力.     

基于OpenCV的运动目标检测与跟踪

基于OpenCV开源平台开发了一种多运动目标检测和跟踪的自动化智能方案.针对多个运动目标在复杂场景中的情况,无法根据背景差和帧间差的方法来确定目标是否首次出现,根据新目标期望出现的位置范围和轮廓面积大小采用筛选法来判断目标的性质.利用CAMShift跟踪算法提取每个目标的颜色特征信息,实现对多个运动目标的跟踪,最后将运动目标的轮廓和运动轨迹描述出来.实验结果表明,在目标颜色特征明显的情况下文中方法具有很好的鲁棒性和精确性.     

基于帧间差分法和不变矩特征的运动目标检测与识别

针对视频监视的复杂背景,提出了一种基于帧间差分法和不变矩特征的运动目标检测与识别方法.在运动目标检测算法中,首先对定义的像素区域进行数据分析,然后通过帧间的数据差异产生运动信号,捕捉到场景中的运动目标.在目标识剐方法中,首先提取运动目标区域的不变矩特征,并对其矢量进行标准化,然后利用遗传小波神经网络作为模式识别器,实现运动目标的自动识别.为验证该方法及网络模型的泛化能力,在Matalb7.0中对模型进行了仿真.     

基于光流和Snake算法的运动目标检测

提出一种帧间双差分法、自适应光流、snake算法相结合的运动目标检测方法.通过帧间双差分法提取运动区域,针对运动区域进行光流计算,对光流计算结果进行C-均值聚类,最后用聚类结果作为snake算法的初始值,通过贪婪算法对活动轮廓进行收缩,把运动目标的轮廓精确的包围起来.由运动目标真实图像序列的实验结果充分证明了算法的优良性能,可以有效地从复杂自然场景的图像序列中检测出完整的运动目标.     

基于邻域相关性和帧间连续性的前景目标分割

提出了一种新的运动目标分割算法。首先利用像素的颜色、空间的和帧间的特性信息结合贝叶斯判别定理对视频图像进行粗分割，得到一个前景目标的二值图，由于该类方法基于像素间彼此独立的假设，导致分割出的前景目标不完整存在很多空洞。其次，基于前景目标局部邻域空间的一致性假设，计算该邻域内像素间的互相关系数；同时，基于背景的帧间连续性和前景的不连续性，计算像素帧间的互相关系数。最后，依据像素的互相关系数在该邻域内进行二次判决，以填补粗分割中前景目标内部的空洞。实验表明，在复杂背景交通视频中该分割算法具有较强的鲁棒性，并能获得更完整准确的前景目标。     

一种改进的复杂场景运动目标检测算法

提出了一种复杂场景视频序列中运动目标精确检测及提取的改进算法,该算法首先采用混合高斯模型(简称GMM)对背景及前景建模快速地实现前景运动区域提取,然后结合目标帧间相关性和随机噪声帧间无关的特点采用时间滤波(Tem-poral Filter)法和数学形态学进行后处理.实验结果表明本文所采用的改进算法能准确的提取运动目标滤除动态噪声,提高了检测鲁棒性,对复杂干扰场景下的实时运动目标检测得到了较令人满意的效果.     

基于RPCA与三帧差分融合的运动目标检测

为了实现在监控视频中对人体运动目标的准确提取,针对传统的三帧差分法在运动目标提取过程中容易出现“空洞”现象,提出了一种鲁棒主成分分析(Robust Principal Component Analysis,RPCA)与三帧差分相融合的运动目标检测算法。本算法通过将RPCA提取的视频当前帧的背景作为三帧差分法的中间帧与视频当前帧的前一帧和视频当前帧分别进行邻间差分,使得三帧差分法在运动目标检测过程中避免了背景像素点所带来的影响,消除了“空洞”现象。仿真结果表明该算法在完整性和准确性方面要优于其他三种传统运动目标检测算法,可以在复杂背景环境中实现准确的运动目标提取。     

监控系统中运动目标检测算法分析

广泛了解当前智能监控技术已有的运动目标检测算法的基础上,对常用的运动目标几种检测算法进行了深入的分析和对比。针对相邻帧的帧间差分、背景减除法和光流场三种检测方法的不同算法的优缺点,介绍了一种基于背景差分和帧间差分相融合的多帧差分运动目标检测算法。通过对运动目标静态场景监控视频图像的准确获取,运用分析改进算法得到更为接近运动目标实际状况的影像轮廓。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

正~~