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Erratum to: A Robust Tracking System for Low Frame Rate Video

International Journal of computer Vision 2015年第3期115卷 305-305页

作者： Xiaoqin Zhang Weiming Hu Nianhua Xie Hujun Bao Stephen Maybank Institute of Intelligent System and Decision Wenzhou University Zhejiang China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science Zhejiang University Zhejiang China Department of Computer Science and Information Systems Birkbeck College London UK

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Situation detection based on knowledge fusion patterns 2

Situation detection based on knowledge fusion patterns

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2nd International Workshop on Ontologies and information systems, WOIS 2014

作者： Levashova, Tatiana Sandkuhl, Kurt Shilov, Nikolay Smirnov, Alexander University of Rostock Institute of Computer Science Department Business Information Systems Albert-Einstein-Str. 22 Rostock18059 Germany St.Petersburg Institute for Informatics and Automation Russian Academy of Sciences 39 14 Line St-Petersburg199178 Russia ITMO University 49 Kronverkskiy pr. St-Petersburg197101 Russia

With the increasing use of sensors and actuators in technical systems and knowledge-intensive services the need for processing the information captured by these sensors and "making sense" out of it increases. Knowledge fusion is supposed to contribute to this field since it aims at integrating knowledge from different sources. Development of knowledge fusion solutions is a complex task which can be compared to systems and software development. As in other development areas there is a need for efficient development processes which can be supported by reusing solution parts, such as patterns or components. The paper brings together experiences from knowledge fusion subsystem development and from design of knowledge fusion patterns. The main contributions of this paper are (1) a real-world application scenario presenting typical requirements to knowledge fusion systems, (2) application of knowledge fusion patterns from context-based decision support to situation recognition, (3) recommendations from this application case.

关键词： Software design

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Adaptive cubature strong tracking information filter using variational Bayesian method 19

Adaptive cubature strong tracking information filter using v...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Ge, Quanbo Wen, Chenglin Chen, Shaodong Sun, Ruoyu Li, Yuan Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University Hangzhou Zhejiang310018 China Luoyang Institute of Electro Optical Equipment of AVIC Luoyang Henan471000 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55414 United States Information Engineering School Shenyang University of Chemical Technology Shenyang Liaoning100142 China

ISBN: (纸本)9783902823625

For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown variance of measurement noise. In this paper, an adaptive cubature strong tracking information filter using variational Bayesian (VB) method is proposed to cope with these complex cases. Firstly, the strong tracking filtering (STF) technology is used to integrally improve performance of cubature information filter (CIF) aiming at the first two cases and an iterative scheme is presented to effectively evaluate a strong tracking fading factor. Secondly, the VB method is introduced to iteratively evaluate the unknown variance of measurement noise. Finally, the novel adaptive cubature information filter is obtained by perfectly combining the STF technology with the VB method, where the variance estimation provided by the VB method guarantees normal running of the strong tracking functionality. © IFAC.

关键词： information filtering

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Seeing the Arrow of Time

Seeing the Arrow of Time

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IEEE Conference on computer Vision and Pattern Recognition

作者： Lyndsey C. Pickup Zheng Pan Donglai Wei YiChang Shih Changshui Zhang Andrew Zisserman Bernhard Scholkopf William T. Freeman Visual Geometry Group Department of Engineering Science University of Oxford Department of Automation Tsinghua University State Key Lab of Intelligent Technologies and Systems Tsinghua National Laboratory for Information Science and Technology (TNList) Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Max Planck Institute for Intelligent Systems

ISBN: (纸本)9781479951192

We explore whether we can observe Time's Arrow in a temporal sequence-is it possible to tell whether a video is running forwards or backwards? We investigate this some-what philosophical question using computer vision and machine learning techniques. We explore three methods by which we might detect Time's Arrow in video sequences, based on distinct ways in which motion in video sequences might be asymmetric in time. We demonstrate good video forwards/backwards classification results on a selection of YouTube video clips, and on natively-captured sequences (with no temporally-dependent video compression), and examine what motions the models have learned that help discriminate forwards from backwards time.

关键词： YouTube Training Support vector machines Physics Testing Histograms Visualization

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Expectation maximization for average reward decentralized POMDPs

Expectation maximization for average reward decentralized PO...

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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013

作者： Pajarinen, Joni Peltonen, Jaakko Department of Automation and Systems Technology Aalto University Finland Department of Information and Computer Science Aalto University Finland

ISBN: (纸本)9783642409875

Planning for multiple agents under uncertainty is often based on decentralized partially observable Markov decision processes (Dec-POMDPs), but current methods must de-emphasize long-term effects of actions by a discount factor. In tasks like wireless networking, agents are evaluated by average performance over time, both short and long-term effects of actions are crucial, and discounting based solutions can perform poorly. We show that under a common set of conditions expectation maximization (EM) for average reward Dec-POMDPs is stuck in a local optimum. We introduce a new average reward EM method;it outperforms a state of the art discounted-reward Dec-POMDP method in experiments. © 2013 Springer-Verlag.

关键词： Multi agent systems

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Event-Triggered State Estimation for a Class of Nonlinear Stochastic systems with Mixed Time Delays

Event-Triggered State Estimation for a Class of Nonlinear St...

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第三十三届中国控制会议

作者： Lei Zou Zidong Wang Derui Ding Hong Qiao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Department of Computer Science Brunel UniversityUxbridgeMiddlesexUB8 3PHUnited Kingdom School of Information Science and Technology Donghua University Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479947249

In this paper, the state estimation problem is investigated for a class of nonlinear stochastic systems with mixed time delays under event-triggered scheme. Based on the proposed event-triggered scheme, the new measurement is sampled and then transmitted to the estimator only when the difference between the current measurement and the previous transmitted measurement is greater than a fixed threshold, thereby reducing the network traffic. Attention is focused on the design problem of the estimator such that the estimation error in mean square is bounded and then minimized. A novel Lyapunov function is employed to derive sufficient condition for the existence of the desired state estimators whose gain matrix can be computed by solving a convex problem. The gain matrix of the estimator is characterized in order that an asymptotic bound of the estimation error is found and subsequently minimized. A numerical simulation is provided to illustrate the effectiveness of the results.

关键词： Event-triggered scheme,mixed time delays,nonlinear systems,ultimately boundedness

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Semi-Global Output Consensus of Linear Agents with External Disturbances and Actuator Saturation:An Output Regulation Approach

Semi-Global Output Consensus of Linear Agents with External ...

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第三十三届中国控制会议

作者： Zhiyun Zhao Yiguang Hong Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences Charles L. Brown Department of Electrical and Computer Engineering University of VirginiaP.O. Box 400743Charlottesville VA 22904-4743 U.S.A.

This paper studies semi-global leader-following output consensus of a multi-agent system. Each follower agent in the system, described by a general linear system subject to external disturbances and actuator saturation, is to track the leader agent. Conditions on the agent dynamics are identified under which a low gain feedback based linear state control algorithm is constructed for each follower agent such that the leader-following output consensus is achieved when the communication topology among the agents is a directed graph that contains no loop and the leader is globally reachable. In addition, discussions and simulations are also provided for the output consensus in the presence of actuator saturation.

关键词： Leader-following output consensus,low gain feedback,multi-agent systems,actuator saturation

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Adaptive Cubature Strong Tracking information Filter Using Variational Bayesian Method

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IFAC Proceedings Volumes 2014年第3期47卷 5945-5950页

作者： Quanbo Ge Chenglin Wen Shaodong Chen Ruoyu Sun Yuan Li Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University Hangzhou Zhejiang 310018 China Luoyang Institute of Electro Optical Equipment of AVIC Luoyang Henan 471000 China Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55414 USA Information Engineering School Shenyang University of Chemical Technology Shenyang Liaoning 100142 China

关键词： Nonlinear system unknown variance of measurement noise cubature information filter strong tracking filtering variational Bayesian

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Index modulated OFDM with ICI self-cancellation in underwater acoustic communications

Index modulated OFDM with ICI self-cancellation in underwate...

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Asilomar Conference on Signals, systems & computers

作者： Miaowen Wen Yuke Li Xiang Cheng Liuqing Yang School of Electronic and Information Engineering South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA

ISBN: (纸本)9781479982981

OFDM is promising for underwater acoustic (UWA) communications due to its potential to combat the large delay spread. However, the performance of the OFDM system is seriously deteriorated by the inter-carrier interference (ICI) caused by the transmitter/receiver motion and ocean waves. In this paper, we propose a novel ICI countermeasure. The key idea is to inactivate partial subcarriers according to index modulation and meanwhile transmit signals with opposite polarity on two adjacent active subcarriers for ICI self cancellation. Simulation results validate that the proposed scheme achieves much better bit error rate (BER) performance than many existing schemes in UWA communications.

关键词： OFDM Modulation Bit error rate Indexes Receivers Transmitters Sonar equipment

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Energy shaping of boundary controlled linear port Hamiltonian systems

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IFAC Proceedings Volumes 2014年第3期47卷 1580-1585页

作者： Yann Le Gorrec Alessandro Macchelli Hector Ramirez Hans Zwart Department of Automation and Micro-Mechatronic Systems FEMTO-ST UMR CNRS 6174 ENSMM 26 chemin de l'épitaphe F-25030 Besançon France Department of Electrical Electronic and Information Engineering “Guglielmo Marconi” (DEI) University of Bologna viale del Risorgimento 2 40136 Bologna Italy University of Twente Faculty of Electrical Engineering Mathematics and Computer Science Department of Applied Mathematics P.O. Box 217 7500 AE Enschede The Netherlands

In this paper, we consider the asymptotic stabilization of a class of one dimensional boundary controlled port Hamiltonian systems by an immersion/reduction approach and the use of Casimir invariants. We first extend existing results on asymptotic stability of linear infinite dimensional systems controlled at their boundary to the case of stable Port Hamiltonian controllers including some physical constraints as clamping. Then the relation between structural invariants, namely Casimir functions, and the controller structure is computed. The Casimirs are employed in the selection of the controllers Hamiltonian to shape the total energy function of the closed loop system and introduce a minimum in the desired equilibrium configuration. The approach is illustrated on the model of a micro manipulation process with partial-actuation on one side of the spatial domain.

关键词： Infinite dimensional port Hamiltonian systems asymptotic stability immersion reduction control design

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