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检索条件"主题词=Change Detection Algorithms"

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A two-channel approach to the removal of impulsive noise from archived recordings

A two-channel approach to the removal of impulsive noise fro...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： C.M. Hicks S.J. Godsill Communications and Signal Processing Laboratory Engineering Department University of Cambridge Cambridge UK

We discuss the extraction of two signals from a monophonic gramophone record, and observe that the impulsive noise is significantly different in the two. This, coupled with the redundancy of the desired parts of the signals, has great advantages in the processes of impulsive noise detection and removal. It is simple to obtain two suitable signals by using a stereo replay cartridge, and we develop detection and interpolation algorithms that use such a pair of signals. We present the results of computer simulations and informal listening tests on archive material. In both cases the two-channel method is found to be an improvement over a similar single-channel algorithm, with little change in computational cost.< >

关键词： Signal processing change detection algorithms Signal processing algorithms Parameter estimation Noise level Computer hacking Laboratories Interpolation Computer simulation Materials testing

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Efficient Algorithm for Initialization of Object Tracks Based on changepoint detection Method

Efficient Algorithm for Initialization of Object Tracks Base...

引用

Engineering and Telecommunication (En&T), International Conference

作者： Valentin Spivak Alexander Tartakovsky Laboratory of Space Informatics Moscow Institute of Physics and Technology Moscow Russia

ISBN: (纸本)9781728188300

In many problems of the initialization of objects' tracks, changepoint detection algorithms can be used. In the past when computational complexity was an issue, the K / N algorithm gained its popularity due to computational simplicity. Nowadays with the tremendous progress in computing technology, the problem of finding more efficient detection and track initiation algorithms is urgent. A substantially more efficient track initiation algorithm can be built based on the sequential change detection technique. In this paper, we consider the Finite Moving Average algorithm. We compare the performance of the K / N algorithm and the Finite Moving Average algorithm. The optimality criterion is to maximize the probability of correct detection in a certain time interval under the given false alarm risk measured as the local probability of a false alarm. For performance, we obtain a theoretical estimate and an estimate by Monte Carlo (MC) simulations. The results show that the Finite Moving Average algorithm performs significantly better than the K / N procedure.

关键词： Computers Monte Carlo methods change detection algorithms Approximation algorithms Time measurement detection algorithms Computational complexity

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Track loss and recovery for intermittently emitting targets

Track loss and recovery for intermittently emitting targets

引用

Simulation Winter Conference

作者： N.E. Rozen Cambridge Research Associates Washington D.C. DC USA

There is far less literature on passive sensor systems for tracking intermittently emitting targets than for tracking continuously emitting ones. A methodology for evaluating these systems via simulation is proposed, ... 详细信息

关键词： Target tracking Sensor systems Algorithm design and analysis Kinematics Virtual prototyping System testing Intelligent sensors Measurement errors Radio frequency change detection algorithms

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Background subtraction with outlier replacement

Background subtraction with outlier replacement

引用

IEEE Recent Advances in Intelligent Computational Systems (RAICS)

作者： Arun Varghese G. Sreelekha Department of Electronics and Communication Engineering National Institute of Technology Calicut India

A data driven background subtraction algorithm where each background pixel is modeled with a representative set of samples is presented. The samples are pixel values observed in preceding frames. Each pixel in an incoming frame is classified as background or foreground by comparing the pixel value with the samples in pixel's background model. The background model is periodically updated by replacing the most outlying sample in the model with the current pixel value. Techniques for suppressing dynamic background and ghost regions are incorporated in the algorithm. Evaluation tests on a public dataset shows markedly faster ghost suppression and fewer false positives in dynamic background regions, as well as improved overall performance in terms of evaluation metrics, compared to the base method.

关键词： Computational modeling Adaptation models Color Measurement detection algorithms change detection algorithms Heuristic algorithms

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Performance measurement in point source target detection

Performance measurement in point source target detection

引用

IEEE Convention of the Electrical and ELectronic Engineers in Israel

作者： M. Bar-Tal S.R. Rotman Airborne Systems Department Elisra Electronic Systems Limited Israel Department of Electrical and Computer Engineering Ben-Gurion University of the Negev Beersheba Israel

Certain point target detection algorithms applied to digital images can be evaluated through a formalism involving the generation of threshold picture, i.e., replacing each actual pixel value with a threshold calculated from the background. Methods to evaluate the strengths and weaknesses of each algorithm are presented using this threshold picture. Moreover, the calculation of an electro-optical system sensitivity parameter (minimum detectable signal) is presented, based on the threshold image.

关键词： Measurement Object detection Pixel Infrared detectors detection algorithms Signal detection Infrared surveillance Filters change detection algorithms Digital images

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MIMO-OFDM ITERATIVE TIME - FREQUENCY SYNCHRONIZATION

MIMO-OFDM ITERATIVE TIME - FREQUENCY SYNCHRONIZATION

引用

18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007), vol.3

作者： Amir Saemi Vahid Meghdadi Jean-Pierre Cances Mohammad Reza Zahabi Xlim/C2S2/ESTE UMR CNRS 6172 University of Limoges Limoges France

This paper addresses an iterative Expectation-Maximization (EM) time-frequency synchronization algorithm joint with channel estimation for MIMO-OFDM systems in frequency selective fading channels. The receivers iterates between detection and estimation. For each iteration, we calculate first the expectation of ODFM symbols by using a posteriori probabilities provided by MAP decoder and second we maximise a proposed metric to obtain both frequency offset and then symbol-timing. The channel can be identified by means of these estimates. This algorithm can work in transmission mode and thus can be used to estimate the residual errors or track the change of the parameters. The performance of the proposed synchronization approach, in terms bit error rate and mean square error of the estimated frequency offset, is shown.

关键词： Frequency synchronization Frequency estimation Time frequency analysis Iterative algorithms Channel estimation Fading Probability Iterative decoding change detection algorithms Bit error rate

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Robust Video Frame Rate Up-Conversion (FRUC) Techniques

Robust Video Frame Rate Up-Conversion (FRUC) Techniques

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Tanaphol Thaipanich Ping-Hao Wu C. C. Jay Kuo Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA

Two challenging situations for video frame rate up-conversion (FRUC) are first identified;namely, when the input video has abrupt illumination change and/or a low frame rate. Then, a low-complexity robust FRUC algorithm is proposed to address these two issues. The proposed algorithm employs a translational motion vector (MV) model of the first- and the second- order and detects the continuity of these motion vectors (MVs). The superior performance of the proposed algorithm has been tested extensively and representative examples are given in this work.

关键词： Robustness Lighting change detection algorithms Interpolation Cameras Testing Video sequences Motion detection Consumer electronics Motion estimation

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A Time-Consistent Video Segmentation Algorithm designed for Real-Time Implementation

A Time-Consistent Video Segmentation Algorithm designed for ...

引用

13th IEEE International Conference on Electronics, Circuits and Systems (ICECS'2006), vol.2

作者： Mohammed El Hassani Delphine Rivasseau Stephanie Jehan-Besson Marinette Revenu Luc Brun David Tschumperle Marc Duranton Laboratoire Systèmes et Transports Université de Technologie de Belfort-Montbliard (UTBM) Belfort France Department of Electrical Engineering and Information Systems University of Tokyo Tokyo Japan FEMTO-ST/FCLab UMR CNRS 6174 Université de Technologie de Belfort-Montbliard (UTBM) Belfort France Westside Gotanda B1F Alnair Labs Corporation Tokyo Japan Laboratory GREYC Caen University France Philips Research Eindhoven Netherlands

In this paper, we propose a time consistent video segmentation algorithm designed for real-time implementation. Our segmentation algorithm is based on a region merging process that combines both spatial and motion information. The spatial segmentation takes benefit of an adaptive decision rule and a specific order of merging. Our method has proven to be efficient for the segmentation of natural images (¤at or textured regions) with few parameters to be set Temporal consistency of the segmentation is ensured by incorporating motion information through the use of an improved change detection mask. This mask is designed using both illumination differences between frames, and region segmentation of the previous frame. By considering both pixel and region levels, we obtain a particularly efficient algorithm at a low computational cost, allowing its implementation in real-time on the TriMedia processor for CIF image sequences.

关键词： Algorithm design and analysis Image segmentation Merging Motion detection Motion estimation Laboratories Pixel change detection algorithms Computational efficiency Image sequences

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Wipe Scene-change Detector Based on Visual Rhythm Spectrum

Wipe Scene-change Detector Based on Visual Rhythm Spectrum

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Kwang-deok Seo Seong Jun Park Soon-heung Jung Computer and Telecommunications Engineering Division Yonsei University Gangwon South Korea School of Electrical and Computer Engineering Purdue University IN USA Convergence Media Research Team Electronics and Telecommunications Research Institute Daejeon South Korea

To store and retrieve large-scale video data sets effectively, the process of wipe detection is an essential step. In this paper, we propose a wipe scene-change detection algorithm based on Visual Rhythm Spectrum (VRS). The VRS contains distinctive patterns or visual features for wipe effects. During a wipe, intensity change between incoming and the outgoing shots gives rise to abrupt intensity discontinuities on the VRS. The proposed algorithm is designed to detect such discontinuities.

关键词： Detectors Rhythm Virtual reality detection algorithms Layout Telecommunication computing Sampling methods change detection algorithms Video sequences USA Councils

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