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检索条件"主题词=change detection algorithms"

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Study of the local-comparison change-point algorithm to analyze traffic flow breakdown

Study of the local-comparison change-point algorithm to anal...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Xiaoyuan Wang Zhaowei Meng School of Mathematics and Information Science Shandong University of Technology Zibo Shandong China

ISBN: (纸本)0780385675

The breakdown of traffic flow is directly related with the abnormal phenomena such as road traffic incidents. It results in the discontinuities of traffic and reduces the service level. The research of traffic flow breakdown is often narrowly confined to incident detection, and there are approximately 4 kinds of algorithms: pattern recognition algorithm, statistical inference algorithm, catastrophic theory and neural network algorithm. These methods have played important roles in their past applications, and each has shortcomings. This paper introduces a nonlinear and nonparametric statistical method to analyze traffic flow breakdown. Based on traffic flow theory and combined with mean-value change-point model, the hypothesis testing of the existence of change points and the local-comparison algorithm to search change-points are discussed. The method is calibrated with the data from the city of Southampton, UK. An example of the applications is also included to test the effectiveness of the method.

关键词： Algorithm design and analysis Electric breakdown Telecommunication traffic Inference algorithms Traffic control Testing Roads Pattern recognition Neural networks change detection algorithms

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An improved adaptive MMSE algorithm for multirate multiuser detection in WCDMA systems

An improved adaptive MMSE algorithm for multirate multiuser ...

引用

Proceedings of the IEEE Circuits and Systems Symposium on Emerging Technologies

作者： Qinghe Du Shihua Zhu Pinyi Ren Department of Information and Communications Engineering Xi'an Jiaotong University Xi'an Shaanxi China

In this paper, we discuss multiuser detection based on wideband code division multiple access (WCDMA) protocols. Multirate transmission and spreading method of WCDMA systems introduce a problem that characteristics of multiple access interference (MAI) change periodically. General adaptive algorithms will not work in that situation. An improved adaptive minimum mean-squared error (MMSE) multiuser detection algorithm is proposed to solve the problem. During our processing procedures, output vector sequence, which is cyclostationary, of matched filter is divided into several stationary vector sequences by down sampling. Then we respectively process those sequences using a bank of adaptive transversal filters using least-mean-square (LMS) algorithm. The improved algorithm is analyzed under FDD mode of WCDMA protocols, in which S(2) short scrambling codes are applied. Simulation result shows that improved multiuser detection algorithm solves multirate problems well and effectively suppresses MAI under AWGN channels and multipath time-varying channels according to IMT-2000 Vehicular Model A. The improved adaptive MMSE algorithm has better performance than conventional detector and improved constant modulus algorithm using the same thinking.

关键词： Multiuser detection Multiaccess communication Multiple access interference change detection algorithms Wideband Access protocols Adaptive algorithm Matched filters Sampling methods Transversal filters

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Edge-and-motion-based semantic video object extraction and application to scene composition

Edge-and-motion-based semantic video object extraction and a...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Yih-Haw Jan D.W. Lin Department of Electronics Engineering National Chiao Tung University Hsinchu Taiwan

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Interoperable server-based cache consistency algorithm

Interoperable server-based cache consistency algorithm

引用

International Symposium on Database Engineering and Applications (IDEAS)

作者： P. Bodorik D. Jutla Yueping Lu Faculty of Computer Science Dalhousie University Halifax NEW Canada Sobey School of Business Dalhousie University NS Canada

Numerous caching algorithms have been investigated for the client-server object database management systems. The algorithms not only ensure cache consistency by preventing applications' access to stale data, but they also support transactional properties. Caching algorithms have been classified in a number of ways - one classification is into avoidance and detection categories, depending on whether access to the stale data is avoided, usually by locking, or permitted and then any conflict detected at commit time. detection-based algorithms have better performance but can lead to high abort rate that is unacceptable for interactive applications. It is for this reason that avoidance-based algorithms are usually adopted in practice. This work describes a server-based interoperable transactional caching algorithm that concurrently supports the leading avoidance-based (adaptive callback locking (ACBL)) and detection-based (adaptive optimistic concurrency control (AOCC)) algorithms. At a client either the avoidance or the detection caching algorithm is used without any changes. It is the server-side caching algorithm that concurrently supports both avoidance and detection client-side caching.

关键词： Programmable control Adaptive control change detection algorithms Computer science Database systems Concurrency control Concurrent computing Relational databases Navigation Data structures

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Non-contrast based edge descriptor for image segmentation

Non-contrast based edge descriptor for image segmentation

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International Conference on Pattern Recognition

作者： Byung-Gyu Kim Pyeong-Soo Mah Real-time Multimedia Research Team Embedded S/W Technology Center Daejeon Korea

ISBN: (纸本)0769521282

We present an efficient object segmentation strategy based on edge information to assist object-based video coding, motion estimation and motion compensation for the MPEG system. Two parameters are introduced and described based on edge information from the analysis of a local histogram. Using these features, a non-contrast based edge function is defined to generate an edge information map, which can be thought as a gradient image. Then, an improved marker-based region growing and merging techniques are derived to separate image regions. The proposed algorithm is tested on several standard images and demonstrates high reliability for object segmentation.

关键词： Image segmentation Image edge detection Histograms Object segmentation change detection algorithms Clustering algorithms Electronic mail Information analysis Object detection Colored noise

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The EO-1 autonomous science agent

The EO-1 autonomous science agent

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Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

作者： S. Chien R. Sherwood D. Tran B. Cichy G. Rabideau R. Castano A. Davies R. Lee D. Mandl S. Frye B. Trout J. Hengemihle J. D'Agostino S. Shulman S. Ungar T. Brakke D. Boyer J. Van Gaasbeck R. Greeley T. Doggett V. Baker J. Dohm F. Ip Jet Propulsion Laboratory California Institute of Technology USA Goddard Space Flight Center NASA USA Interface and Control Systems Inc. USA Arizona State University USA University of Arizona Tucson USA

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A simple and workable moving objects segmentation method

A simple and workable moving objects segmentation method

引用

International Symposium on Electronics in Marine (ELMAR)

作者： Yanling Zhao Zhichao Zhang Zhenming Gao School of Information Science & Engineering Shandong University Jinan Shandong China

Based on the rides of segmentation results and real time requirements, the proposed method is a simple segmentation method without complicated and large amounts of computation. We obtained frame difference mask (FDM) through the intersections of three twice-frame-difference images, then got moving object mask (MOM). Filling MOM with original values can get segmented images. From experiments, better results can be obtained with less time.

关键词： Object segmentation Image segmentation Video compression Message-oriented middleware Image edge detection change detection algorithms Information science Filling MPEG 4 Standard Joining processes

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Edge detection method with CNN

Edge detection method with CNN

引用

SICE Annual Conference

作者： T. Yoshida J. Kawata T. Tada A. Ushida J. Morimoto Tokushima Bunri University Sanuki Kanagawa Japan

ISBN: (纸本)4907764227

In this paper, we propose an edge detection system with cellular neural network. Applications of this method to remotely sensed images are investigated. First, it is applied the image emphasis method to extract edge information. Next, it is made a binary image. Finally, it is applied the noise decrease method. The edge detection result show that this approach produces excellent results which are more realistic and noiseless compared with conventional edge detection methods.

关键词： Image edge detection Cellular neural networks Data mining Satellites Image processing Retina Feature extraction Signal processing change detection algorithms Laplace equations

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Face Tracking by Means of Continuous detection

Face Tracking by Means of Continuous Detection

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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： B. Froba C. Kublbeck Department of Electronic Imaging Fraunhofer Institute of Integrated Circuits and Systems Erlangen Germany

The main contribution of this work is a new view to face-tracking namely to associate the independent detection results obtained by applying a real-time detector to each frame of a sequence. This differs fundamentally from traditional tracking which is mostly understood as finding the location of a target object given its previous position and a correspondence finding algorithm either with or without a prior object model. This traditional notion has two major problems namely the initialization problem and the lost-track problem. We show that the advent of new rapid detection algorithms may change the need for traditional tracking. Furthermore the mentioned problems have a natural solution within the presented tracking by continuous detection approach. The only assumption on the object to track is it's maximal speed in the image plane, which can be set very generously. From this assumption we derive three conditions for a valid state sequence in time. To estimate the optimal state of a tracked face from the detection results a Kalman filter is used. This leads to an instant smoothing of the face trajectory. It can be shown experimentally that smoothing the face trajectories leads to a significant reduction of false detections compared to the static detector without the presented tracking extension. We further show how to exploit the highly redundant information in a natural video sequence to speed-up the execution of the static detector by a temporal scanning procedure which we call "slicing". A demo program showing the outcomes of our work can be found in the internet under http://***/bv/biometrie/ for download.

关键词： Face detection Detectors Target tracking Smoothing methods change detection algorithms detection algorithms State estimation Trajectory Video sequences Internet

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Application of anomaly detection algorithms for detecting SYN flooding attacks

Application of anomaly detection algorithms for detecting SY...

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： V.A. Siris F. Papagalou Institute of Computer Science Foundation for Research and Technology Hellas Crete Greece

We investigate statistical anomaly detection algorithms for detecting SYN flooding, which is the most common type of denial of service (DoS) attack. The two algorithms considered are an adaptive threshold algorithm and a particular application of the cumulative sum (CUSUM) algorithm for change point detection. The performance is investigated in terms of the detection probability, the false alarm ratio, and the detection delay. Particular emphasis is on investigating the tradeoffs among these metrics and how they are affected by the parameters of the algorithm and the characteristics of the attacks. Such an investigation can provide guidelines to effectively tune the parameters of the detection algorithm to achieve specific performance requirements in terms of the above metrics.

关键词： detection algorithms Floods Computer crime change detection algorithms Computer science Delay TCPIP Application software Guidelines Web and internet services

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