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检索条件"任意字段=16th Conference on Signal and Data Processing of Small Targets"

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DETECTION OF small ANOMALIES ON MOVING BACKGROUND 26

DETECTION OF SMALL ANOMALIES ON MOVING BACKGROUND

引用

26th IEEE International conference on Image processing (ICIP)

作者： Davy, Axel Desolneux, Agnes Morel, Jean-Michel Univ Paris Saclay ENS Paris Saclay CNRS CMLA F-94235 Cachan France

ISBN: (纸本)9781538662496

We consider the problem of detecting small targets in videos where the textured background is also possibly moving. the proposed method is based on a two steps statistical framework. In a first step, the optical flow is computed using a pyramidal scheme incorporating statistical tests for a result with reliability guarantees. In the second step, the detection of targets is changed into a problem of anomaly detection in noise, and statistical testing ensures a control of the number of false detections.

关键词： Anomaly Detection Optical Flow

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Track fusion with feedback for local trackers using MHT

Track fusion with feedback for local trackers using MHT

引用

20th conference on signal and data processing of small targets

作者： Danu, Daniel Lang, Tom Kirubarajan, T. McMaster Univ Dept Elect & Comp Engn Hamilton ON Canada Gen Dynam Canada Ottawa ON Canada

ISBN: (纸本)9780819471604

With current processing power, Multiple Hypothesis Tracking (MHT) becomes a feasible and powerful solution;however a good hypothesis pruning method is mandatory for efficient implementation. the availability of a continuously increasing number of tracking systems raises interest in combining information from these systems. the purpose of this paper is to propose a method of information fusion for such trackers that use MHT locally with local information sent in the form of sensor global hypotheses and the fusion center combining them into fused global hypotheses. the information extracted from the best fused global hypotheses, in the form of ranking of received sensor global hypotheses, is sent back to local trackers, for optimized pruning. Details of the method, in terms of sensor global hypotheses generation, evaluation, pruning at local sensors, association and fusion of sensor global hypotheses at fusion center, and usage of the information received as feedback from the fusion center are presented.

关键词： target tracking Multiple Hypothesis Tracking data fusion

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An improved clustering approach for multiplatform data fusion

An improved clustering approach for multiplatform data fusio...

引用

13th conference on signal and data processing of small targets

作者： de Waard, HW Elgersma, V Thales Naval Nederland BV NL-7550 GD Hengelo Netherlands

ISBN: (纸本)0819441872

In the first part of the paper a new solution is proposed for distributed multiplatform data fusion, in which the different platforms exchange only compressed, track-related information. An improved clustering concept is introduced based on the premise that a cluster call contain a number of independent components, and based oil the definition of a marginal bearing density function for the measurements produced by a certain track. Based oil the found independent components new clusters can be formed. In the second part of the paper experimental evidence for the existence of independent components is presented. Furthermore, for the simulated multiplatform system experimental results concerning platform tracking and the reduction in the use of computer computation time, based oil implemented measures from,(1) are presented.

关键词： Distributed multiplatform data fusion multiple target tracking data-association M(ultiple) H(ypothesis) T(racking) independent component standard building block

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Evaluation of a posteriori probabilities of multi-frame data association hypotheses

Evaluation of a posteriori probabilities of multi-frame data...

引用

19th conference on signal and data processing of small targets

作者： Mori, Shozo Chong, Chee BAE Syst Adv Informat Technol 5050 El Camino RealSuite 200 Los Altos CA 94022 USA

ISBN: (纸本)9780819468475

this paper discusses the problem of numerically evaluating multi-frame, data association hypotheses in multiple-target tracking in terms of their a posteriori probabilities. We describe two approaches to the problem: (1) an approach based on K-best multi-frame data association hypothesis selection algorithms, and (2) a more direct approach to calculating a posteriori probabilities through Markov-chain-Monte-Carlo (MCMC) or sequential Monte Carlo (SMC) methods. this paper defines algorithms based on those two approaches and compares their performance, and it discusses their relative effectiveness, using simple numerical examples.

关键词： multiple target tracking track-oriented multiple-hypothesis tracking (MHT) multiple-frame data association hypothesis K-best multiple-frame hypothesis selection Markov-chain-Monte-Carlo (MCMC) method sequential Monte Carlo (SMC) method

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Polarization-spectrum signatures of above-water and surface targets

Polarization-spectrum signatures of above-water and surface ...

引用

16th International conference on Microwaves, Radar and Wireless Communications, MIKON 2006

作者： Lutsenko, V.I. Popov, I.V. Khlopov, G.I. Khomenko, S.I. Usikov Institute of Radiophysics and Electronics National Academy of Sciences of Ukraine 12 Akademika Proskury Kharkov - 61085 Ukraine

ISBN: (纸本)9788390666280

the results of experimental study of backscatter spectral - polarization features from above-water and surface objects are presented. Investigations were carried out with coherent systems both with the pulse and CW modes of millimeter and centimeter wave bands (from lOsm to 2mm). the informative features are concerned with modulation both the amplitude and Doppler translation are condition on modulation of scattered signal at the stroke rate for the oared boat and the frequency modulation concerned with hands and lags move of moving man as well are ascertained. For the scattering from the object body the small level of depolarization factor of the scattered signal is typical. Ascertained that for the coincident by frequency spectral components of the signal scattered from the objects on orthogonal polarizations the high values of cross correlation factor is typical.

关键词： Backscattering

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New approach to detect dim moving point targets based on motion analysis

New approach to detect dim moving point targets based on mot...

引用

13th conference on signal and data processing of small targets

作者： Dong, NL Jin, G Qi, B Ma, JG Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China

ISBN: (纸本)0819441872

Dim point targets detection in highly cluttered backgrounds is a challenging problem. In this paper we describe the development and the implementation of a new effective methodology to detect moving point targets in infrared or visual images. the new approach is based on mathematical morphology and motion analysis. First, the image is filtered by means of gray-scale morphology in order to reject background objects. then, with the residual image a motion analysis based on trajectory conjunction is carried out to extract the potential point like moving targets. In the motion analysis stage we define a function to describe the characteristics of moving targets, and by this means a strategy is constructed to judge whether or not a given area contains the potential moving target. through motion analysis, the non-target points are kicked out while the true target points are detected out after merely several frames of image. this approach doesn't depend on threshold techniques and requires no assumptions about the behavior of the target motion. the only limitation is that the target's speed doesn't exceed several pixels per frame. A test study based on available database is presented, and the results so far indicate that this approach to detect moving point target is highly effective.

关键词： low contrast point target detection nonlinear image processing motion analysis mathematical morphology small target

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Bias estimation using targets of opportunity

Bias estimation using targets of opportunity

引用

19th conference on signal and data processing of small targets

作者： Kragel, Bret D. Danford, Scott Herman, Shawn M. Poore, Aubrey B. Numer Corp 4850 Hahns Peak Dr Loveland CO 80538 USA

ISBN: (纸本)9780819468475

Fusion of data from multiple sensors can be hindered by systematic errors known as biases. Specifically, the presence of biases can lead to data misassociation and redundant tracks. Fortunately, if an estimate of the unknown biases can be obtained, the measurements and transformations for each sensor can be debiased prior to fusion. In this paper, we present an algorithm that uses targets of opportunity in the sensor field-of-view for online estimation of time-variant biases. the algorithm uses the singular value decomposition (SVD) to automatically handle the issue of parameter observability during tracking, allowing for shorter estimation windows and more accurate bias estimation. Our approach extends the novel methods proposed in the companion paper(1) by Herman and Poore that used the SVD within a nonlinear least-squares estimator to handle the issue of parameter observability during offline estimation of time-invariant biases using truth data.

关键词： bias estimation sensor registration gridlock nonlinear least-squares singular value decomposition bias observability

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Heart Sounds Features Usage for Classification of Ventricular Septal Defect Size in Children 1

引用

16th International conference on Biomedical Engineering (ICBME)

作者： Hassani, Kamran Jafarian, Kamal Doyle, D. John Islamic Azad Univ Sci & Res Branch Fac Biomed Engn Dept Biomech Golzare 1Adl Blvd Tehran Iran Cleveland Clin Inst Anesthesiol Gen Anesthesiol Abu Dhabi U Arab Emirates

ISBN: (数字)9789811042201

ISBN: (纸本)9789811042201;9789811042195

Ventricle septal defects (VSDs) are an important form of congenital heart disease. this study presents a new approach to VSD size estimation based on the discrete wavelet transform and artificial neural network classification of heart sounds. Heart sounds was recorded for 20 children with a VSD aged 19 +/- 12 months when visiting the pediatric heart clinic of Shaheed Modarres Hospital in Tehran. the detection system was trained using 70 percent of the data and evaluated using the remaining 30%. It was found to be 96.6 percent accurate for small-size VSD (d(hole)<0.3da(orta)) and 93.3 percent accurate for large-size VSD (d(hole)>0.7da(orta)). Our results suggest that this approach may offer clinical utility in detecting and classifying VSDs in children.

关键词： Biomedical signal processing Discrete wavelet transforms Neural networks Phonocardiography VSD

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Expected likelihood for tracking in clutter with particle filters

Expected likelihood for tracking in clutter with particle fi...

引用

14th conference on signal and data processing of small targets

作者： Marrs, A Maskell, S Bar-Shalom, Y QinetiQ Ltd Malvern Technol Ctr Malvern Worcs England

ISBN: (纸本)0819444782

the standard approach to tracking a single target in clutter, using the Kalman filter or extended Kalman filter, is to gate the measurements using the predicted measurement covariance and then to update the predicted state using probabilistic data association. When tracking with a particle filter, an analog to the predicted measurement covariance is not directly available and could only be constructed as an approximation to the current particle cloud. A common alternative is to use a form of soft gating, based upon a Student's-t likelihood, that is motivated by the concept of score functions in classical statistical hypothesis testing. In this paper, we combine the score function and probabilistic data association approaches to develop a new method for tracking in clutter using a particle filter. this is done by deriving an expected likelihood from known measurement and clutter statistics. the performance of this new approach is assessed on a series of bearings-only tracking scenarios with uncertain sensor location and non-Gaussian clutter.

关键词： tracking probabilistic data association particle filters

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A flexible implementation for Doppler radar to verify various base-band array signal processing algorithms - art. no. 591307

A flexible implementation for Doppler radar to verify variou...

引用

17th conference on signal and data processing of small targets

作者： Yang, E Lee, J Jung, B Chun, J Korea Adv Inst Sci & Technol Comp Sci Lab Taejon 305701 South Korea

ISBN: (纸本)0819459186

We describe a flexible hardware system of the Doppler radar which. is designed to verify various baseband array signal processing algorithms. In this work we design the Doppler radar system simulator for baseband signal processing in laboratory level. Based on this baseband signal processor, a PN-code pulse doppler radar simulator is developed. More specifically, this simulator consists of an echo signal generation part and a signal processing part. For the echo signal generation part, we use active array structure with 4 elements, and adopt baker coded PCM signal in transmission and reception for digital pulse compression. In the signal processing part, we first transform RF radar pulse to the baseband signal because we use the basebands algorithms using IF sampling. Various digital bearnforming algorithms can be adopted as a baseband algorithm in our simulator. We mainly use Multiple Sidelobe Canceller (MSC) with main array antenna elements and auxiliary antenna elements as beamforming and sidelobe canceller algorithm. For Doppler filtering algorithms, we use the FFT. A control set is necessary to control overall system and to manage the timing schedule for the operation.

关键词： Doppler radar FFT beamforming sidelobe canceller CFAR pulse compression

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