Machine Vision
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1: Proceedings of CDC2000
Discrete Event SystemsControl in Communication SystemsOptimal Control and Applications IOptimisation Approaches and MethodsModel Predictive ControlAdvances in Linear EstimationStochastic and Uncertain SystemsNonlinear Control and ApplicationsNonlinear Estimation and FilteringFormation Control and its ApplicationsNew Approaches to Fuzzy ControlManufacturing SystemsAutomotive ApplicationsStability Issues in Hybrid ControlRecent Advances in Stochastic NetworksOptimal Control and Applications IIRobust Controller Design - mu, L1 and H2Constrained and Receding Horizon ControlIdentification and Control around the WorldMarkov Decision ProcessesNonlinear OptimisationObservers for Nonlinear SystemsMotion PlanningNeural / Fuzzy Stability and ControlMotor ControlControl of Quantum Phenomena IHybrid Systems MethodsControl in Communication NetworksRobustness and OptimisationBumpless Transfer, Antiwindup and SaturationAdaptive Control: Linear SystemsEstimation and Closed Loop IdentificationControl of Markov ProcessesNonlinear Filtering and ControlModelling, Identification and Validation of Nonlinear SystemsDifferential Geometric Control Theory for Mechanical SystemsNonlinear Output Feedback ControlPneumatics and Compression SystemsControl of Quantum Phenomena IIStability of Hybrid SystemsPerformance Analysis in Communication NetworksAdaptive Control of Nonlinear SystemsLMI Methods in DesignRobust Control of Time Delay SystemsSubspace Identification MethodsNonlinear Stochastic Filtering and EstimationBifurcations, Chaos and Control INew Progress in Synthesis of Nonlinear Systems IImplementation Issues of Sliding Mode Control TheoryControl of Mixing in Shear FlowsNovel Neural Network Control Techniques for Industrial Motion Control SystemsPhysiological Control SystemsOptimal Control of Hybrid SystemsStochastic Models for Communication NetworksControl and Stabilisation of Nonlinear SystemsNew Directions in Robust ControlLinear Systems TheoryAdvanced Topics in Systems TheoryEstimation in ActionBifurcations, Chaos and Control IINew Progress in Synthesis of Nonlinear Systems IINumerical Design and Analysis Techniques for Nonlinear SystemsAnalysis and Control of Underactuated SystemsSliding Mode Control IChallenges in the Application of Control to Computer SystemsEstimation and Diagnosis of Discrete Event SystemsCommunications and GamesOptimal ControlStochastic SystemsModel Reduction MethodologiesIdentification and Subspace MethodsApplications of Nonlinear Adaptive ControlAdvances in Nonlinear Output Feedback DesignThe Behavioural Approach to Systems and ControlVision Based Estimation and Control: Recent Advances and Open ProblemsAgile Control of Military OperationsSliding Mode Control IIModel-based Fault Diagnosis of Industrial ProcessesDiscrete Event Systems / Petri NetsSystem Identification and Confidence EstimationNew Approaches to H-Infinity Control IProbabilistic Approaches to Robust ControlTime Delay System StabilisationIdentification MethodsControlled Stochastic ProcessesOutput Feedback of Nonlinear SystemsTopics in Nonlinear StabilisationMobile Robots: Tracking ControlRobust Control of Nonlinear SystemsPower Systems Stabilisation and ControlDisk Drive ControlHybrid Control ApplicationsDiscrete Time SystemsNew Approaches to H-Infinity Control IILinear Systems with Saturating ActuatorsNew Theories in Distributed Parameter SystemsApplications of Estimation and IdentificationStochastic Control and Tuning MethodologiesControl of Nonlinear SystemsIterative Learning and ControlCoordinating Robot SystemsNonlinear Time Varying SystemsNovel Applications of Neural NetworksAerospace ApplicationsSwitched SystemsImplicit and Descriptor SystemsLQGPeriodic Systems and DisturbancesNew Horizons for Distributed Parameter SystemsState EstimationLearning and Neuro-ControlNonlinear Control and Stabilisation ITrackingVision ServoingControllability of Nonlinear SystemsControl of Flexible SystemsElectro-Mechanical SystemsRobust Control Methods and ApplicationsFault Detection and DiagnosisOptimisation and ApplicationsRobust Stability AnalysisNumerical Methods in ControlFiltering in Continuous Time Stochastic SystemsInterplay between Control and Signal ProcessingFault Detection and AnalysisNonlinear Dynamical SystemsNonlinear Time Delay SystemsComputational Issues in Nonlinear ControlDisturbance RejectionProcess Control Industry ApplicationsLinear Parameter Varying SystemsLinear Control SystemsDynamic and Nonlinear ProgrammingModel Reduction ApplicationsNew Techniques for Control and Systems: Numerical Linear AlgebraEstimation and Identification using Hidden Markov ModelsApplications of Stochastic ControlTopics in Linear DesignNonlinear Control and Stabilisation IIAmbulatory Robot SystemsChaotic and Oscillatory SystemsBiomedical System ControlIntegrated Control and CPU SchedulingLinear Design TechniquesAdaptive Disturbance / Noise CompensationNonlinear Model Predictive ControlSensitivity Design, Analysis and LimitationsAnalysis of Linear SystemsLinear Matrix Inequalities in DesignLyapunov's 2nd MethodRobotics: Tracking ControlLagrangian and Hamiltonian TheoryVariable Structure ControlMachine VisionSignal Processing Methods in ControlApplied Nonlinear ControlAuthor Index
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Observability of Perspective Dynamical Systems
Authors:
Hiroshi Inaba, Akifumi Yoshida, Rixat Abdursul, Bijoy K. Ghosh,
Volume: 1, Page 5157 Paper number 1386
Abstract:
Perspective dynamical systems arise in machine vision, and the essential problem in such a system is how to determine any unknown states and /or any unknown parameters from its perspective observation [1]-[5]. Considering simple perspective dynamical systems, we study the state observability and the parameter identifiability of such systems, using the differential geometric method, that is, the observability rank condition, which has been developed for general nonlinear systems [6]-[8], and present various necessary and/or sufficient conditions for observability and/or identifiability.
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A New Robust Observer For The Perspective System
Authors:
Xinkai Chen, Hiroyuki Kano, Toshio Fukuda,
Volume: 1, Page 5163 Paper number 69
Abstract:
In this paper, we consider the problem of estimating the position of an object moving in the space by observing its image with the aid of a CCD camera. The problem can be converted into the observation of a dynamical system with nonlinearities. A new method, which is inspired by the sliding mode techniques, is proposed to identify the obtained dynamical system. The attraction of the new method is that the identification can be finished in a very short time, the algorithm is very simple and easy to be implemented, and it is robust to measurement noises. Further, minor a priori knowledge of the system is required in the new formulation. Simulation results show the superiority of the new method to the traditional ones.
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Identification Of Relative Position And Orientation Of Two Cameras From Motion And Shape Parameters Of Moving Rigid Body
Authors:
Hiroyuki Kano, Bijoy K. Ghosh,
Volume: 1, Page 5169 Paper number 90
Abstract:
In this paper we obtain the calibration parameters between a pair of cameras from motion and shape cues obtained from a moving rigid body in space. We consider a body moving rigidly in space and assume that they are observed using a pair of cameras. We assume furthermore that the relative positions of the two cameras are unknown i.e. we are in an uncalibrated stereo situation. It is then proved that, under certain generic conditions, relative orientation can be determined uniquely, whereas the relative position can be recovered only upto a one parameter ambiguity. The general problem is to be able to estimate the motion and shape parameters from the environment inspite of the lack of calibration between the two cameras.
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Canonical Forms and Orbit Identification Problems in Machine Vision
Authors:
Satoru Takahashi, Bijoy K. Ghosh,
Volume: 1, Page 5175 Paper number 1150
Abstract:
We introduce canonical forms for perspective dynamical systems under the action of a perspective group and illustrate their application to parameter identification with the aid of a single CCD camera. We show that the parameters in the canonical form can be identified uniquely using an Extended Kalman Filter (EKF).
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Registration Of Background Images Using Correlation For A Land-Based IRST System
Authors:
Jinchun Wang, Joohwan Chun, Yongwoon Park,
Volume: 1, Page 5182 Paper number 9144
Abstract:
Image registration is useful for the moving target detection and tracking in the Infra-Red Search and Trackers. We present a new image registration method based on the maximum likelihood principle. With our approach to the image registration, displacements between frames are calculated using the correlation, and then, the new image is rectified to the reference image by compensating the displacement through two steps of coarse and fine rectifications.