In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intel...
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In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intelligent traffic. A block-based Gaussian mixture background modeling method for object detection is presented to reduce the computational complexity of moving vehicle object abstraction. An adaptive tracking algorithm fused with color features and texture features is described to better adapt the traffic scene variation. The experimental results show that the proposed algorithm can effectively deal with the complex urban traffic conditions and the tracking performance is better than the conventional particle filter method and single feature based non-adaptive object tracking method.
A control feedback system with saturation nonlinearities is said to have robustness preserving characteristics if the constrained system is as robust as its linear counterpart. Such characteristics can be desirable. I...
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ISBN:
(纸本)9781612848006;9781612848013
A control feedback system with saturation nonlinearities is said to have robustness preserving characteristics if the constrained system is as robust as its linear counterpart. Such characteristics can be desirable. It has been proved for some special cases that the anti-windup version of the Internal Model control architecture can offer such characteristics for first-order plants with delays against norm-bounded (not only LTI) uncertainty. This paper provides general conditions expressed in the frequency domain which allow to test for the preservation of robustness for plants of any order. In addition, a class of robustness preserving controllers is characterised in terms of the Zames-Falb conditions. The test is shown to be easily implementable and exploited for anti-windup tuning.
Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model...
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Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which has two basic characters: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to computationally hard problems in polynomial time. We here present an effective solution to the common algorithmic decision problem using a family of recognizer tissue P systems with cell division.
作者:
Li, G.Heath, W.P.Herrmann, G.School of Engineering
Computing and Mathematics University of Exeter North Park Road Exeter EX4 4QF United Kingdom Control Systems Centre
School of Electrical and Electronic Engineering University of Manchester Manchester M13 9PL United Kingdom ACTLab.
Department of Mechanical Engineering University of Bristol University Walk Bristol BS8 1TR United Kingdom
We develop an anti-windup (AW) compensator synthesis approach using Integral Quadratic Constraints (IQC). The synthesis finds the AW compensator that achieves a specified robustness against additive or input multiplic...
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The contribution is devoted to the study of image segmentation and texture analysis to find image features invariant to image components rotation and translation. The main part of the paper presents the principle of R...
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The contribution is devoted to the study of image segmentation and texture analysis to find image features invariant to image components rotation and translation. The main part of the paper presents the principle of Radon transform and its use in combination with the wavelet transform to find features minimizing their variance due to image components rotation. Proposed methods have been verified for simulated structures and then used for analysis of biomedical images including magnetic resonance images of the brain and orthodontic images. The goal of image processing included in all cases (i) segmentation of selected biomedical objects and (ii) detection of their features.
This paper shows the result of an analysis pertaining to the applicability of RESTful web services (RESTful WS) in solving various software and data integration scenarios in control centers for the electric power syst...
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This paper shows the result of an analysis pertaining to the applicability of RESTful web services (RESTful WS) in solving various software and data integration scenarios in control centers for the electric power system domain. There are many possible ways to enhance power system software/data integration by combining RESTful WS and the IEC 61970 set of standards. The goal of this paper is to highlight those lines of integration in control centers, where the benefits of leveraging RESTful WS are most noticeable. The importance of selecting the most prominent integration scenarios from the viewpoint of RESTful WS stems from the fact, that not all integration problems are naturally fitted for RESTful WS. Assuming a type of RESTful WS, which wraps the resource oriented power system data model defined in the IEC 61970-301 Common Information Model (CIM) and the generic query interface defined in IEC 61970-403 Generic Data Access (GDA), the paper demonstrates that such a RESTful WS may be successfully utilized in many concrete integration situations. As an added advantage, a RESTful WS atop of existing IEC 61970 standards can significantly loose the couplings between different software packages used in power system control centers. We have realized several pilot projects using real life power system data models (some used in CIM interoperability tests) to assert the outcome of our feasibility study. This study clearly shows that RESTful web services are a powerful tool for solving numerous power system software and data integration problems in control centers.
A new tool has been developed for comparison and evaluation of medical images based on image registration and edge detection algorithms. The tool performance has been demonstrated on the processing of the ortopantomog...
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A new tool has been developed for comparison and evaluation of medical images based on image registration and edge detection algorithms. The tool performance has been demonstrated on the processing of the ortopantomograms taken before and after treatment. The accuracy of the performance has been discussed and the possible origins of tool performance errors have been explained. The results obtained using presented tool have been discussed by an expert. The expert has confirmed that the tool is well suited for comparison and evaluation of ortopantomograms. The expert has come to the conclusion that our tool can be useful in other specializations of dentistry, not only in orthodontics.
A new tool has been developed for comparison and evaluation of medical images based on image registration and edge detection algorithms. The tool performance has been demonstrated on the processing of the ortopantomog...
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A new tool has been developed for comparison and evaluation of medical images based on image registration and edge detection algorithms. The tool performance has been demonstrated on the processing of the ortopantomograms taken before and after treatment. The accuracy of the performance has been discussed and the possible origins of tool performance errors have been explained. The results obtained using presented tool have been discussed by an expert. The expert has confirmed that the tool is well suited for comparison and evaluation of ortopantomograms. The expert has come to the conclusion that our tool can be useful in other specializations of dentistry, not only in orthodontics.
This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video ...
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This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video sequences at different lighting conditions and their statistical evaluation were described in our previous paper. The measurement showed that the type of noise generated by the system is signal-independent in a certain illumination range. The noise and image models in the wavelet domain are based on the Generalized Laplacian Model (GLM) and it is the most convenient to estimate the model parameters using the moment method. Furthermore, the noise component may be modeled by the GLM also in the space domain. Overall, we verified that the GLM allows for modeling various types of probability density functions. In the final section of this paper, the performance of the proposed advanced de-noising algorithm is verified on the real data, which were acquired in the Astronomical Institute.
This paper is concerned with the problem of Hα filtering for a class of discrete-time linear parameter-varying (LPV) systems with Markovian switching under data missing and quantization. A stochastic variable is used...
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