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Abnormal traffic events detection based on short-time constant velocity model and spatio-temporal trajectory analysis

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Journal of Information and Computational Science 2013年第16期10卷 5233-5241页

作者： Li, Han Wu, Qisheng Dou, Aiping Chang'an University School of Information Engineering Xi'an 710064 China Provincial Eng. Research Center for Road Traffic Intelligent Detection and Equipments Engineering Chang'an University Xi'an 710064 China Chang'an University School of Electrical and Control Engineering Xi'an 710064 China AVIC Computing Technique Research Institute Xi'an 710068 China

A novel algorithm is presented in this paper to detect anomalous vehicle behaviors such as abnormal stop and vehicle crashing. After objects detection, spatio-temporal trajectory of multiple objects can be obtained to construct the regional short-time constitute velocity model. Then gray model theory is adopted to estimate the motion model parameters. With the definition of abnormal traffic events patterns, individual vehicle movement can be judged as an abnormal or normal vehicle behavior. Experimental results show the proposed method can detect the abnormal traffic events effectively. © 2013 Binary Information Press.

关键词： Object detection

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Beyond bag of words: Image representation in sub-semantic space 13

Beyond bag of words: Image representation in sub-semantic sp...

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21st ACM International Conference on Multimedia, MM 2013

作者： Zhang, Chunjie Wang, Shuhui Liang, Chao Liu, Jing Huang, Qingming Li, Haojie Tian, Qi School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China School of Software Dalian University of Technology Liaoning China Department of Computer Sciences University of Texas San Antonio TX 78249 United States

ISBN: (纸本)9781450324045

Due to the semantic gap, the low-level features are not able to semantically represent images well. Besides, traditional semantic related image representation may not be able to cope with large inter class variations and are not very ro- bust to noise. To solve these problems, in this paper, we propose a novel image representation method in the sub- semantic space. First, examplar classifiers are trained by separating each training image from the others and serve as the weak semantic similarity measurement. Then a graph is constructed by combining the visual similarity and weak se- mantic similarity of these training images. We partition this graph into visually and semantically similar sub-sets. Each sub-set of images are then used to train classifiers in order to separate this sub-set from the others. The learned sub-set classifiers are then used to construct a sub-semantic space based representation of images. This sub-semantic space is not only more semantically meaningful but also more reli- Able and resistant to noise. Finally, we make categorization of images using this sub-semantic space based representation on several public datasets to demonstrate the e®ectiveness of the proposed method. Copyright © 2013 ACM.

关键词： Image representation

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Finite-horizon estimation of randomly occurring faults for discrete time-varying systems

Finite-horizon estimation of randomly occurring faults for d...

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19th International Conference on Automation and computing, ICAC 2013

作者： Dong, Hongli Wang, Zidong Shen, Bo College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom School of Information Science and Technology Donghua University Shanghai 200051 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg 47057 Germany

ISBN: (纸本)9781908549082

This paper deals with the finite-horizon estimation of randomly occurring faults for a class of linear discrete time-varying systems. All the system parameters are time-varying and the failures are assumed to occur in a random way, and two sets of Bernoulli distributed white sequences are introduced to govern the failures probability. By using the completing squares method and stochastic analysis techniques, necessary and sufficient conditions for the existence of the finite-horizon Hoo fault estimator are derived, and then the time-varying fault estimator parameters are obtained by solving coupled backward recursive Riccati difference equations (RDEs). A simulation example is utilized to illustrate the usefulness of the proposed fault estimation method. © 2013 Chinese Automation and computing Society in the UK - CACS.

关键词： Riccati equations

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Fine-grained image classification using color exemplar classifiers

Fine-grained image classification using color exemplar class...

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14th Pacific-Rim Conference on Multimedia, PCM 2013

作者： Zhang, Chunjie Xiong, Wei Liu, Jing Zhang, Yifan Liang, Chao Huang, Qingming School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing China National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783319037301

The use of local features has demonstrated its effectiveness for many visual applications. However, local features are often extracted with gray images. This ignores the useful information within different color channels which eventually hinders the final performance, especially for fine-grained image classification. Besides, the semantic information of local features is too weak to be applied for high-level visual applications. To cope with these problems, in this paper, we propose a novel fine-grained image classification method by using color exemplar classifiers. For each image, we first decompose it into multiple color channels to take advantage of the color information. For each color channel, we represent each image with a response histogram which is generated by exemplar classifiers. Experiments on several public image datasets demonstrate the effectiveness of the proposed color exemplar classifier based image classification method. © Springer International Publishing Switzerland 2013.

关键词： Image classification

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H∞ state estimation for discrete-time systems with fading measurements and randomly varying nonlinearities

H∞ state estimation for discrete-time systems with fading m...

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19th International Conference on Automation and computing, ICAC 2013

作者： Ding, Derui Wang, Zidong Dong, Hongli Shen, Bo School of Information Science and Technology Donghua University Shanghai 200051 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg 47057 Germany

ISBN: (纸本)9781908549082

In this paper, the H∞ state estimation problem is investigated for a class of stochastic systems with the simultaneous presence of fading measurements and randomly varying nonlinearities (RVNs). A sequence of random variables obeying the Bernoulli distribution is utilized to govern RVNs. The Rice fading model, simultaneously, is employed to describe the phenomena of channel fadings by setting different values of the channel coefficients. The purpose of this paper is to design an H∞ state estimator such that the augmented system is stochastically stable and the disturbance rejection attenuation is constrained to a given level by means of the H ∞-performance index. In terms of stochastic analysis methods, sufficient conditions are established under which the addressed state estimation problem is recast as solving a convex optimization problem via the semi-definite programme method. Finally, a simulation example is employed to show the usefulness of the proposed design scheme. © 2013 Chinese Automation and computing Society in the UK - CACS.

关键词： State estimation

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Fluid structure coupling analysis of boundary layer streaming driving micropump

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Sensors and Transducers 2013年第4期151卷 24-29页

作者： Wei, Changzhi Wei, Shoushui Liu, Feifei School of Control Science and Engineering Shandong University No.17923 Jingshi Road Jinan Shandong 250061 China Shandong Provincial Key Laboratory of Network based Intelligent Computing No.106 Jiwei Road Jinan Shandong 250022 China

An acoustic streaming micropump driven by boundary layer streaming is proposed. The streaming velocity is simulated by employing the direct streaming method. When the vibration displacement is 0.1 μm with a driving frequency of 1.0 MHz, an average outlet velocity of 4.87 mm/s can be obtained. Analysis indicates that the average outlet velocity is proportional to the square of the vibration displacement and the driving frequency. When the fluid viscosity is less than 10-4 Pa&bulls, the average outlet velocity remains unchanged, otherwise the average outlet velocity decreases with the fluid viscosity increasing. Finally the influence of back pressure on the average outlet velocity is simulated and the maximum back pressure of the designed acoustic streaming micropump achieved is 135 Pa. © 2013 IFSA.

关键词： Computational fluid dynamics

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Quantized ℋ∞filtering for Markovian jump LPV systems with intermittent measurements

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International Journal of Robust and Nonlinear control 2013年第1期23卷 1-14页

作者： Yao, Xiuming Wu, Ligang Zheng, Wei Xing Hebei Engineering Research Center of Simulation and Optimized Control for Power Generation North China Electric Power University Baoding 071003 China School of Computing and Mathematics University of Western Sydney Penrith NSW 2751 Australia Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China

This paper investigates the problem of quantized ℋ∞ filtering for a class of discrete-time linear parameter-varying systems with Markovian switching under data missing. The measured output of the plant is quantized by a logarithmic mode-independent quantizer. The data missing phenomenon is modeled by a stochastic variable. The purpose of the problem addressed is to design a full-order ℋ∞ filter such that the filtering error dynamics is stochastically stable and the prescribed noise attenuation level in the ℋ∞ sense can be achieved. Sufficient conditions are derived for the existence of such filters in terms of parameterized linear matrix inequalities. Then the corresponding filter synthesis problem is transformed into a convex optimization problem that can be efficiently solved by using standard software packages. A simulation example is utilized to demonstrate the usefulness of the developed theoretical results. Copyright © 2011 John Wiley & Sons, Ltd.

关键词： Markov processes

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System identification based on DNNs with disturbance observer and application to unmanned aerial vehicles

System identification based on DNNs with disturbance observe...

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Chinese control Conference (CCC)

作者： Yang Yi Weixing Zheng Yi Yang Lei Guo Southeast University Nanjing Jiangsu CN School of Computing Engineering and Mathematics University of Western Sydney 2751 Australia Beihang University Beijing CN Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100083 China

In this paper, dynamic neural networks (DNNs) are used as the on-line identifier for a class of nonlinear systems with unknown external disturbance and unknown multiple dead zone actuators. By integrating the novel nonlinear disturbance observer with adaptive control algorithms, the parameter coupling problem between unknown dead zone and DNNs can be successfully solved and the multiple disturbances can also be rejected simultaneously. Both the observation error and the identification error can be proved to convergent to zero. Furthermore, by combining with the numerical result of an unmanned aerial vehicle (UAV) model, the effectiveness of theoretical algorithms can be fully verified.

关键词： Observers Neural networks Heuristic algorithms Nonlinear dynamical systems Vehicle dynamics Actuators

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Undo the codebook bias by linear transformation for visual applications 13

Undo the codebook bias by linear transformation for visual a...

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21st ACM International Conference on Multimedia, MM 2013

作者： Zhang, Chunjie Zhang, Yifan Wang, Shuhui Pang, Junbiao Liang, Chao Huang, Qingming Tian, Qi School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China College of Computer Science and Technology Beijing University of Technology 100124 Beijing China School of Computer National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China Department of Computer Sciences University of Texas at San Antonio San Antonio TX 78249 United States

ISBN: (纸本)9781450324045

The bag of visual words model (BoW) and its variants have demonstrate their effectiveness for visual applications and have been widely used by researchers. The BoW model first extracts local features and generates the corresponding codebook, the elements of a codebook are viewed as visual words. The local features within each image are then encoded to get the final histogram representation. However, the codebook is dataset dependent and has to be generated for each image dataset. This costs a lot of computational time and weakens the generalization power of the BoW model. To solve these problems, in this paper, we propose to undo the dataset bias by codebook linear transformation. To represent every points within the local feature space using Euclidean distance, the number of bases should be no less than the space dimensions. Hence, each codebook can be viewed as a linear transformation of these bases. In this way, we can transform the pre-learned codebooks for a new dataset. However, not all of the visual words are equally important for the new dataset, it would be more effective if we can make some selection using sparsity constraints and choose the most discriminative visual words for transformation. We propose an alternative optimization algorithm to jointly search for the optimal linear transformation matrixes and the encoding parameters. Image classification experimental results on several image datasets show the effectiveness of the proposed method. Copyright © 2013 ACM.

关键词： Linear transformations

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Proceedings of the Frontiers of Retrovirology Conference 2016

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Retrovirology 2016年第1期13卷 1-40页

作者： Irena Zurnic Sylvia Hütter Nicole Stanke Tobias Kern Fabian Lindel Gesche Gerresheim Martin Hamann Erik Müllers Dirk Lindemann Ute Lehmann Juliane Reh Paul Lesbats Peter Cherepanov Melanie Mann Erik Serrao Alan Engelman Claire Da Silva Santos Kevin Tartour Andrea Cimarelli Rya Burdick Jianbo Chen Jaya Sastri Wei-Shau Hu Vinay Pathak Oliver T. Keppler Patrícia de Sousa-Pereira Hanna-Mari Baldauf Marcel Stern Karine Pradeau Sylvia Eiler Nicolas Levy Marc Ruff Sarah Lennon Sarah Cianferani Stéphane Emiliani Vincent Parissi Sylvie Rato Miguel Munoz Angela Ciuffi Antonio Rausell Amalio Telenti Alexander Zhyvoloup Ian Anderson Chen- Hsuin Lee Ariberto Fassati Anat Melamed Delphine Planas Petronela Ancuta Yuwei Zhang Huicheng Chen Annie Bernier Annie Gosselin Janos Kriston-Vizi Robin Ketteler Andy Merritt Charles Bangham Jocelyn Turpin Anthony Rodari Benoit Van Driessche Mathilde Galais Nadége Delacourt Sylvain Fauquenoy Caroline Vanhulle Anna Kula Carine Van Lint Ernst J. Wolvetang Arsène Burny Olivier Rohr Thijs van Montfort Renee van der Sluis Ben Berkhout Dave Speijer Gang Wang Na Zhao Atze T. Das Mirte Scherpenisse Bo Meng Andrzej Rutkowski Lars Dölken Andrew Lever Neil Berry Claire Ham Neil Almond Hoi Ping Mok Nicholas Norton Axel Fun Jack Hirst Mark Wills Chris Hellmund Harriet Groom Thomas Schuster Benedikt Asbach Ralf Wagner Christine Gross Martina Kalmer Andrea K. Thoma-Kress Norbert Donhauser Sebastian Millen Sandra M. Müller-Schmucker Veit Wiesmann Thomas Wittenberg Jan Gettemans Minghua Li Shan-Lu Liu Eric O. Freed Janis Müller Jan Münch Simone Joas Clement Wesley Gnanadurai Edina Lump Christina M. Stürzel Daniel Sauter Frank Kirchhoff Katharina Mack Kathrin Starz Christina Stürzel Xaver Sewald Nasim Motamedi Pradeep Uchil Ruoxi Pi Christin Herrmann Walther Mothes Mark Ladinsky Pamela Bjorkman Jagadish Beloor Priti Kumar Thomas Murooka Thorsten Mempel Michael Brehm Dale Greiner Erica Parrish Nicholas F. Parrish Beatrice H. Hahn Frederic Bibollet-Ruche Ulrike Sauermann Katharina Töpfer Tina Schultheiss Chris Molecular Virology and Gene Therapy Molecular Medicine Leuven Belgium Molecular Virology Technical University Dresden Dresden Germany Center for Regenerative Therapies Dresden Dresden Germany Potsdam University Potsdam Germany The Francis Crick Institute London Great Britain Institute of Clinical and Molecular Virology Friedrich-Alexander-Universität Erlangen-Nuremberg Erlangen Germany Dana Farber Cancer Institute Boston MA United States CIRI Lyon France National Cancer Institute Frederick MD United States Virology Max von Pettenkofer-Institut LMU Munich Munich Germany Institute of Medical Virology University of Frankfurt Frankfurt a. M. Germany German Center for Infection Research Munich Germany Institute of Medical Virology University Hospital Frankfurt Frankfurt a. M. Germany CIBIO/InBIO University of Porto Vairão Portugal Faculty of Sciences University of Porto Porto Portugal Virology Max von Pettenkofer Institute LMU Munich Germany Institute for Medical Virology Frankfurt a. M. Germany Integrative structural Biology IGBMC Illkirch France Institut Pluridisciplinaire Hubert Curien Strasbourg France Institut Cochin Paris France CNRS UMR5234 MFP Lab Bordeaux France Associated International Laboratory (LIA) Microbiology and Immunology CNRS/Université de Bordeaux/Heinrich Pette Institute-Leibniz Institute for Experimental Virology Bordeaux/Hamburg France Institute of Microbiology University Hospital Center and University of Lausanne Lausanne Switzerland Imagine Institute Paris Descartes University Paris France J. Craig Venter Institute La Jolla CA United States Infection University College London London Great Britain Medicine Imperial College London Great Britain Microbiology & Infection University of Montreal Montreal Great Britain CRCHUM Montreal Canada University College London LMCB London Great Britain MRC Technology Centre for Therapeutic Discovery London Great Britain Section of Virology Department of Medicine Imperial Co

Oral presentationsSession 1: Entry & uncoatingO1 Host cell polo-like kinases (PLKs) promote early prototype foamy virus (PFV) replicationIrena Zurnic, Sylvia Hütter, Ute Lehmann, Nicole Stanke, Juliane Re... 详细信息

Oral presentations

Session 1: Entry & uncoating

O1 Host cell polo-like kinases (PLKs) promote early prototype foamy virus (PFV) replication

Irena Zurnic, Sylvia Hütter, Ute Lehmann, Nicole Stanke, Juliane Reh, Tobias Kern, Fabian Lindel, Gesche Gerresheim, Martin Hamann, Erik Müllers, Paul Lesbats, Peter Cherepanov, Erik Serrao, Alan Engelman, Dirk Lindemann

O2 A novel entry/uncoating assay reveals the presence of at least two species of viral capsids during synchronized HIV-1 infection

Claire Da Silva Santos, Kevin Tartour, Andrea Cimarelli

O3 Dynamics of nuclear envelope association and nuclear import of HIV-1 complexes

Rya Burdick, Jianbo Chen, Jaya Sastri, Wei-Shau Hu, Vinay Pathak

O4 Human papillomavirus protein E4 potently enhances the susceptibility to HIV infection

Oliver T. Keppler

Session 2: Reverse transcription & integration

O5 Structure and function of HIV-1 integrase post translational modifications

Karine Pradeau, Sylvia Eiler, Nicolas Levy, Sarah Lennon, Sarah Cianferani, Stéphane Emiliani, Marc Ruff

O6 Regulation of retroviral integration by RNA polymerase II associated factors and chromatin structure

Vincent Parissi

Session 3: Transcription and latency

O7 A novel single-cell analysis pipeline to identify specific biomarkers of HIV permissiveness

Sylvie Rato, Antonio Rausell, Miguel Munoz, Amalio Telenti, Angela Ciuffi

O8 A capsid-dependent integration program linking T cell activation to HIV-1 gene expression

Alexander Zhyvoloup, Anat Melamed, Ian Anderson, Delphine Planas, Janos Kriston-Vizi, Robin Ketteler, Chen-Hsuin Lee, Andy Merritt, Petronela Ancuta, Charles Bangham, Ariberto Fassati

O9 Characterisation of new RNA polymerase III and RNA polymerase II transcriptional promoters in the Bovine Leukemia Virus genome

Anthony Rodari, Benoit Van Driessche, Mathilde Galais, Nadége Delacourt, Sylv

关键词： Human Immunodeficiency Virus Infection Simian Immunodeficiency Virus Feline Immunodeficiency Virus Bovine Leukemia Virus Prototype Foamy Virus

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