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International Conference on Pattern Recognition

作者： Bin Ma Chunlei Li Yunhong Wang Zhaoxiang Zhang Di Huang Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467322164

In this paper we propose a watermarking based two-stage authentication framework to enhance biometric system security. The face feature of one individual is embedded into his/her fingerprint image as credibility token. During authentication, the watermark is first extracted to establish data authenticity. If legitimate, the face pattern can further serve as supplemental trait in biometric authentication progress. A wavelet quantization based watermarking method is proposed to robustly embed information in fingerprints while preserving their discriminating features. Meanwhile, a sparse representation based classifier is adopted to efficiently exploit the identity information within face watermarks. Experimental results which evaluate both watermarking and biometric authentication performance demonstrate the effectiveness of this work.

关键词： Watermarking Face Authentication Robustness Quantization Pattern recognition

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An overview about pinning control of complex networks

An overview about pinning control of complex networks

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Lan Zhang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of Systemengineering Huazhong University of Science & TechnologyImageProcessin Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

Synchronization and pinning control of complex networks is to regulate the agents' behavior and improve network *** this article, we review some recent developments in pinning *** algorithms and pining strategies in different types of complex networks are presented and *** pinning control is also *** addition, the research extended to discrete-time case is *** some related research, the development in consensus and flocking of multi-agent system are introduced *** last, we give some ideas about pinning control in social networks.

关键词： Complex network pinning control adaptive control multi-agent systems

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Tracking Control of Pneumatic Muscle Using Lyapunov Based Control Method

Tracking Control of Pneumatic Muscle Using Lyapunov Based Co...

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4th International Conference on Modelling,Identification and Control(ICMIC 2012)

作者： Youssif M.T.Elobaid Key Laboratory of Image Processing and Intelligent Control Department of Control Science and TechnologyHuazhong University of Science and Technology Wuhan People’s Republic of China

Presently pneumatic muscles (PMs) are used in various applications due to their simple construction, lightweight and high force to weight ratio. However, pneumatic muscles are facing various problems due to their nonlinear characteristic in various mechanical applications. The model of PM is nonlinear and time-varying. In this paper, a Lyapunov-based control (LBC) approach is proposed for the control of PM. Based on the nonlinear characteristic of PM, a dynamic model of the PM actuator with pulling a mass against gravity is formed. Control objectives are both a regulation and an asymptotic tracking of a desired trajectory. Stability analysis based on Lyapunov method with respect to our proposed control law is discussed. The simulation results show the validity, effectiveness and enhancing robustness of the proposed method.

关键词： Pneumatic muscle, Lyapunov theory, tracking control, stabilization.

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Textural fabric defect detection using adaptive quantized Gray-level Co-occurrence Matrix and Support Vector Description Data

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Information Technology Journal 2012年第6期11卷 673-685页

作者： Bi, Mingde Sun, Zhigang Li, Yesong Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Hubei 430074 Wuhan China

A new defect detection algorithm base on Support Vector Data Description (SVDD) is proposed. A fabric texture model is built on the gray-level histogram of textural fabric image. Two Gray-level Co-occurrence Matrix (GLCM) features are used to characterize the fabric texture. And an adaptive quantization scheme base on the texture mode is proposed to reduce the size of GLCM and reduce the computational complexity of feature extraction. Besides, twonew features are proposed to characterize the continuous property of the fabric defects. The SVDD classifier is used as a detector for defect detection. Experimental results of real fabric defects are provided to validate the effectiveness and robustness of the proposed detection algorithm. And a prototyped detection system is built to evaluate the real-time performance of the detection algorithm. © 2012 Asian Network for Scientific Information.

关键词： Data description

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Adaptive flocking of multi-agent systems with locally Lipschitz nonlinearity

Adaptive flocking of multi-agent systems with locally Lipsch...

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31st Chinese Control Conference, CCC 2012

作者： Ningzi, Zhang Housheng, Su Chen, Michael Z. Q. Xiaofan, Wang Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9789881563811

This paper investigates adaptive flocking of multi-agent systems (MASs) with a virtual leader. All agents and the virtual leader share the same intrinsic nonlinear dynamics, which satisfies a locally Lipschitz condition and depends on both position and velocity information of the agent itself. Under the assumption that the initial network is connected, an approach to preserving the connectivity of the network is proposed. Based on the Lyapunov stability theory, an adaptive flocking control law is derived to make the MASs track the virtual leader without collision. Finally, a numerical example is presented to illustrate the effectiveness of the theoretical results. © 2012 Chinese Assoc of Automati.

关键词： Multi agent systems

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An Overview of Hierarchical Temporal Memory: A New Neocortex Algorithm

An Overview of Hierarchical Temporal Memory: A New Neocortex...

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Wei Wang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of theInstitute of System engineering Huazhong University of Science &Technolog Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method based on the principle of how human brain *** method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near *** overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.

关键词： hierarchical Bayesian network spatial-temporal memory-prediction temporal sequence pattern recognition

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Displacement prediction model of landslide based on ensemble of extreme learning machine

Displacement prediction model of landslide based on ensemble...

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19th International Conference on Neural Information processing, ICONIP 2012

作者： Lian, Cheng Zeng, Zhigang Yao, Wei Tang, Huiming Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan Hubei China School of Computer Science South-Central University for Nationalities Wuhan Hubei China Faculty of Engineering China University of Geosciences Wuhan Hubei China

ISBN: (纸本)9783642344770

Based on time series analysis, total accumulative displacement of landslide is divided into the trend component displacement and the periodic component displacement according to the response relation between dynamic changes of landslide displacement and inducing factors. In this paper, a novel neural network technique called the ensemble of extreme learning machine (E-ELM) is proposed to investigate the interactions of different inducing factors affecting the evolution of landslide. Trend component displacement and periodic component displacement are forecasted respectively, then total predictive displacement is obtained by adding the calculated predictive displacement value of each sub. A case study of Baishuihe landslide in the Three Gorges reservoir area is presented to illustrate the capability and merit of our model. © 2012 Springer-Verlag.

关键词： Landslides

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A novel segmentation method for convex lesions based on dynamic programming with local intra-class variance 12

A novel segmentation method for convex lesions based on dyna...

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27th Annual ACM Symposium on Applied Computing, SAC 2012

作者： Yu, Mali Huang, Qiliang Jin, Renchao Song, Enmin Liu, Hong Hung, Chih-Cheng School of Computer Science Huazhong University of Science and Technology Wuhan China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan Hubei China Radiology Department Second People's Hospital of Nanning Nanning China School of Computing and Software Engineering Southern Polytechnic State University GA United States

ISBN: (纸本)9781450308571

Lesion segmentation plays an important role in medical image processing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradient is used as an important factor in the cost function to attract the contours to the boundaries. Since medical images have their characteristics such as low contrast, blurred edges and high noises, the gradient operator cannot work well enough to achieve a satisfactory performance for boundary detection. We define the local intra-class variance and combine it with the dynamic programming method to replace the traditional gradient operation. Experiments on synthetic and X-ray images are carried out and the results are compared with Canny and fast multilevel fuzzy edge detection (FMFED) algorithms. It is demonstrated that the proposed method performs better on medical images with low contrast, blurred edges and high noises. In addition, 483 regions of interest of mammograms randomly extracted from DDSM of the University of South Florida are used to compare our proposed method with the plane-fitting and dynamic programming method (PFDP), and the normalized cut segmentation method (Ncut). The results demonstrate that our method is more accurate and robust than PFDP and Ncut. © 2012 ACM.

关键词： Dynamic programming

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$H_{\infty}$ Filtering for Neutral Systems With Mixed Delays and Multiplicative Noises

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IEEE Transactions on Circuits and Systems II: Express Briefs 2012年第11期59卷 820-824页

作者： Shiping Wen Zhigang Zeng Tingwen Huang Department of Control Science and Engineering Huazhong University of Science and Technology and Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan China Texas A & M University at Qatar Doha Qatar

This brief investigates the H ∞ filtering problem for a class of neutral systems with mixed delays and multiplicative noises. The mixed delays comprise both discrete time-varying and distributed delays. Moreover, the multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. In the presence of mixed delays and multiplicative noises, sufficient conditions for the existence of an H ∞ filter are derived, such that the filtering error dynamics is asymptotically mean-square stable and also achieves a guaranteed H ∞ performance level. Then, a linear matrix inequality approach for designing such an H ∞ filter is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results.

关键词： Delay Noise Robustness Control systems Stochastic systems Linear matrix inequalities

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Computation of the folkman number Fv(3,5;6)

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Journal of Combinatorial Mathematics and Combinatorial Computing 2012年 81卷 11-17页

作者： Shao, Zehui Liang, Meilian Pan, Linqiang Xu, Xiaodong School of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing China School of Mathematics and Information Science Guangxi University Nanning 530004 China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Guangxi Academy of Sciences Nanning Guangxi 530007 China

We prove that Fv(3,5;6) = 16, which solves the smallest open case of vertex Folkman numbers of the form Fv(3,k;k + 1). The proof uses computer algorithms.

关键词： Mathematical techniques

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