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检索条件"主题词=change detection algorithms"

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A Method of Image Matching Used in Image-Based Modeling System

A Method of Image Matching Used in Image-Based Modeling Syst...

引用

International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Chengtao Yi Xiaotong Wang Xiaogang Xu Dalian Naval Academy Dalian China

In order to restrain the high sensitivity to image noise and non-linearity transform as for the traditional automatic matching algorithm in the system of image-based modeling, a new simplified algorithm based on SIFT (scale invariant feature transform) was provided. Firstly, for avoiding the problem of losing of information, position excursion and the fake keypoints, the features were detected and captured in multi-scale space. Secondly, the reversible image matching algorithm was adopted based on simplifying SIFT local feature descriptor for accurate matching. Lastly, the matching algorithm was optimized by using RANSAC and the approximate nearest neighbor algorithm in the light of epipolar constraints. The experimental results demonstrated the robustness and efficiency of the algorithm.

关键词： Image matching change detection algorithms Computer vision Feature extraction Data mining Layout Image reconstruction Stability Artificial intelligence Computational intelligence

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A new low complexity NLOS identification approach based on UWB energy detection

A new low complexity NLOS identification approach based on U...

引用

IEEE Radio and Wireless Symposium (RWS formerly RAWCON)

作者： Abdelmadjid Maali Hassane Mimoun Genevieve Baudoin Abdelaziz Ouldali Communications Systems Laboratory EMP Algiers Algeria Cité Descartes Université Paris-Est ESIEE Noisy-le-Grand France

The major problem of indoor localization is the presence of Non-line-of-sight (NLOS) channels. In order to perform the NLOS identification, this paper proposes a new NLOS identification approach. It is based on the energy statistics of the direct-path pulse (DPP) and on the statistics of the delay between the strongest-energy pulse and the DPP energy of the received signal folded version. The simplicity of the proposed approach lies in the use of the parameters of the Energy-Based time of arrival (TOA) Estimation (EBE) algorithm. The CM1 and CM2 channel models of the standard IEEE802.15.4a are used. Numerical simulations results show that the correct identification of channel models with the proposed approach is better than with the multipath channel statistics based approach.

关键词： Statistics Delay EMP radiation effects Multipath channels Numerical simulation Ultra wideband technology Signal processing change detection algorithms Laboratories Signal resolution

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Research on ECG R-Wave detection Algorithm Based on LabVIEW

Research on ECG R-Wave Detection Algorithm Based on LabVIEW

引用

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Danfei Huang Xiaofeng Zhang Huilin Jiang Guozhong Xu School of Life Science and Technology Changchun University of Science and Technology Changchun Jilin China

ISBN: (纸本)9781424441327

This paper introduces a new method of electrocardiogram (ECG) R-wave detection algorithm based on LabVIEW. The algorithm adopts the adaptive difference threshold value method for identifying the R-wave, and calculates the heart rate by the R-R interval. It has the advantages of high detection rate, fast processing, and easy completing and transplanting, therefore the researches lay the foundation for the further research on ECG.

关键词： Electrocardiography detection algorithms Interference Heart rate Object detection Paper technology Wavelet transforms Neural networks change detection algorithms Data acquisition

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A fast moving object detection method via local neighborhood similarity

A fast moving object detection method via local neighborhood...

引用

IEEE International Conference on Mechatronics and Automation

作者： Wei Li Kaipeng Yang Jiaxin Chen Qingtao Wu Mingchuan Zhang Electrical & Information Engineering College Henan University of Science and Technology Luoyang China

Background subtraction is widely used in moving object detection. Pixel-based methods are sensitive to the nonstationary change of the scenes. Region-based approaches allow only coarse detection of the moving objects. In this paper, a novel algorithm based on local neighborhood similarity is proposed. Integrate the similarity of its surrounding pixels with the background model, when a pixel needs to be judged. The performance of the proposed method is evaluated by a series of indoor and outdoor experiments. Compared with the current widely used Mixture of Gaussian, the proposed algorithm in this paper achieved the perfect results in object detection and extraction.

关键词： Object detection Layout Shape Pixel Target recognition Mechatronics Automation Educational institutions change detection algorithms Streaming media

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Stochastic Adaptive Learning Rate in an Identification Method: An Approach for On-line Drilling Processes Monitoring

Stochastic Adaptive Learning Rate in an Identification Metho...

引用

2009 American Control Conference (ACC 2009)

作者： A. BA S. Hbaieb N. Mechbal M. Verge Laboratoire de Mecanique des Systemes et des Procedes (UMR-CNRS) Ecole Nationale Superieure d'Arts et Metiers 151 Boulevard de l'hopital Paris France Schlumberger Riboud Product Centre 1 rue Henri Becquerel 92142 Clamart Cedex France

ISBN: (纸本)9781424445233

On-line drilling processes monitoring is an essential task in enhancing their performances. In oilfield industry, dysfunctions that might occur have to be detected at the earliest possible stage in order to preserve drilling efficiency. This paper deals with a methodology for drilling processes monitoring by identifying time varying parameters. The basic idea behind the proposed algorithm is to improve the tracking ability of parameters change by means of an identification method using a new approach to adjust the forgetting factor. The effectiveness of the developed method is highlighted through experimental data obtained from tests campaign.

关键词： Stochastic processes Drilling Petroleum Resonance light scattering Programmable control Adaptive control Condition monitoring change detection algorithms Signal processing algorithms Testing

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A new edge detection method based on contrast enhancement

A new edge detection method based on contrast enhancement

引用

International Seminar on Future BioMedical Information Engineering, FBIE

作者： Zhijie Li Yongkui Liu Jian Yun Feixue Huang School of Computer Science and Engineering Dalian Nationalities of University Dalian Liaoning China Department of Economics Dalian University of Technology Dalian China

A new edge detection method (CEED (Contrast Enhancement Edge detection)) using neighborhood contrast is proposed in this paper, which does not utilize template operator. The edge detection frame for contrast enhancement is established and the corresponding algorithm is given. After defining the contrast evaluation function and edge structure candidate set, the contrast matrix of original image is produced, where each element value measures the degree of belonging to edge. Experimental results show that the CEED method is efficient, especially for irregular edge detection.

关键词： Image edge detection Biomedical engineering Biomedical measurements change detection algorithms Computer science Electronic mail Image segmentation Pattern recognition Machine vision Laplace equations

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A Distributed Termination detection Algorithm for Dynamic Asynchronous Systems

A Distributed Termination Detection Algorithm for Dynamic As...

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IEEE International Conference on Distributed Computing Systems

作者： Paul Johnson Neeraj Mittal Department of Computer Science The University of Texas at Dallas Richardson TX 75080 USA

ISBN: (纸本)9781424444816

Termination detection in distributed systems has been a popular problem of study. It involves determining whether a computation running on multiple nodes has ceased all its activities. A large number of termination detection algorithms have been proposed for static distributed systems in which the number of nodes present in the system is fixed and never changes during runtime. Recently, the termination detection problem has been investigated in the context of dynamic distributed systems in which individual nodes may join and/or leave the system at any time. In this paper, we propose an efficient algorithm for detecting termination of a computation in a dynamic, asynchronous, distributed system that allows nodes to join as well as leave the system while the computation is in progress. Our simulation results indicate that our algorithm has lower message complexity as well as lower detection latency than other comparable algorithms for solving the same problem.

关键词： detection algorithms Peer to peer computing Distributed computing Computational modeling change detection algorithms Delay Grid computing Computer science USA Councils Runtime

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A Flexibility-Based Damage Identification Method Using Ambient Modal Data

A Flexibility-Based Damage Identification Method Using Ambie...

引用

Asia-Pacific Conference on Information Processing, APCIP

作者： Q. W. Yang C. H. Li Department of Civil Engineering Shaoxing College of Arts and Sciences Shaoxing China

Structural damage identification using ambient vibration modes has become a very important research area in recent years. The main issue surrounding the use of ambient vibration modes is the mass normalization of the measured mode shapes. This paper presents a promising approach that extends the flexibility sensitivity technique to tackle the ambient vibration case. By introducing the mass normalization factors, manipulating the flexibility sensitivity equation, the unknown damage parameters and mass normalization factors can be computed simultaneously by the least-square technique. The effectiveness of the proposed method is illustrated using simulated data with measurement noise on a steel truss structure. The results show the good efficiency and stability of the proposed method on the identification of damage on more than one element. It has been shown that the proposed procedure is simple to implement and may be useful for structural damage identification under ambient vibration case.

关键词： Equations Matrices Vibration measurement Shape measurement change detection algorithms Frequency Information processing Civil engineering Educational institutions Art

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detection Algorithm of Scene Boundary Based on Information Theory

Detection Algorithm of Scene Boundary Based on Information T...

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International Conference on Information Technology and Computer Science, ITCS

作者： Yuexiang Shi Can Yi Information Engineering School Xiangtan University Xiangtan China

In this paper, the new detection algorithm of scene boundary based on information theory has been presented. It uses the changed color of frame image as feature. With the detection of scene sudden change and gradual c... 详细信息

关键词： detection algorithms Layout Information theory change detection algorithms Face detection Video compression Space technology Cameras Lenses Video sequences

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Multiple Moving Targets Tracking Based on the Video

Multiple Moving Targets Tracking Based on the Video

引用

IEEE International Symposium on Computer Network and Multimedia Technology, CNMT

作者： Yucheng Li Fenyan Wang Department of Automation North-China University of Technology Beijing China

Because when moving objects are tracked by mean-shift algorithm, the starting position of target in the current frame starts at the center of the target in the previous frame, so the accuracy of vehicle tracking is not too high. In order to overcome this shortcoming, the mask-based mean-shift algorithm is proposed in the paper. The accuracy of target tracking can be improved by forecasting its starting position. Experiments verify that the accuracy of vehicle tracking is improved by using the algorithm and that the problem of partial occlusion could be resolved.

关键词： Target tracking Pixel Object detection Image edge detection Vehicle detection Automation Image sequences change detection algorithms Gaussian noise Background noise

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