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检索条件"主题词=Detection and tracking algorithms"

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IMPLEMENTATION STRATEGIES FOR THE CENTRAL-LEVEL MULTI-HYPOTHESIS tracking FUSION WITH MULTIPLE DISSIMILAR SENSORS 2

IMPLEMENTATION STRATEGIES FOR THE CENTRAL-LEVEL MULTI-HYPOTH...

引用

CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION 2

作者： SHAHBAZIAN, E SIMARD, MA BOURASSA, S Paramax Systems Canada (Canada)

ISBN: (纸本)0819411914

The processor resource requirements for a central-level multi-hypothesis tracking (MHT) fusion system have been estimated to be beyond most of the currently known general purpose processors for naval applications. A benchmark MHT fusion system has been selected for Command and Control System (CCS) for a frigate class naval platform of the year 2000 and beyond. The system parameters have been selected to support the Anti-Air Warfare (AAW) mission requirements of a frigate which has a long range radar (LRR), a medium range radar (MRR), an electronic support measure (ESM) sensor, and an infra-red search and track (IRST) sensor. Appropriate fusion parameters have been selected to support the frigate mission, and the real-time capability to run the algorithms, the time required to perform a cycle of the central-level MHT fusion system has been estimated for a general purpose processor. This paper presents a comparative analysis of the two implementation strategies for the two modes of operation of the central-level benchmark MHT fusion system, by analyzing the system and fusion parameters selected in this study, estimating peak and average processor resource requirements, and evaluating the timing delays between contact detection and fusion for the two approaches. Based on the estimated processor and timing requirements of these approaches, this paper also presents a concurrent computing implementation, that is expected to permit the real-time execution of the central-level MHT fusion system for the AAW frigate within currently available computer technology for naval applications.

关键词： Sensors Data fusion Data processing Radar Infrared search and track Electronic support measures Thermal weapon sites Computing systems detection and tracking algorithms Imaging systems

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DETECTING SMALL DEBRIS USING A GROUND-BASED PHOTON-COUNTING DETECTOR

DETECTING SMALL DEBRIS USING A GROUND-BASED PHOTON-COUNTING ...

引用

CONF ON SPACE DEBRIS detection AND MIGRATION

作者： HO, C PRIEDHORSKY, B BARON, M Los Alamos National Lab. (United States)

ISBN: (纸本)0819411876

We describe a sensitive technique for detecting small space debris that exploits a fast photon- counting imager. Microchannel plate detectors using crossed delay-line readout can achieve a resolution of 2048 X 2048 spatial pixels and a maximum count rate of about 10⁶ photons per second. A baseline debris-tracking system might couple this detector to a 16-cm aperture telescope. The detector yields x, y, and time information for each detected photon. When visualized in (x,y,t) space, photons from a fast-moving orbital object appear on a straight line. They can be distinguished from diffuse background photons, randomly scattered in the space, and star photons, which fall on a line with sidereal velocity. By searching for this unique signature, we can detect and track small debris objects. At dawn and dusk, a spherical object of 1.3 cm diameter at 400 km will reflect sunlight for an apparent magnitude of V approximately equals 16. The baseline system would detect about 16 photons from this object as it crosses a 1 degree field of view in about 1 second. The line in (x,y,t) space will be significant in a diffuse background of approximately 10⁶ photons. We discuss the data processing scheme and line detection algorithm. The advantages of this technique are that one can (1) detect cm-size debris objects with a small telescope, and (2) detect debris moving with any direction and velocity.

关键词： Sensors Space telescopes detection and tracking algorithms Photon counting Algorithm development Computer simulations Data acquisition Data processing Telescopes Imaging systems

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DAMAGE detection, LOCATION, AND ESTIMATION FOR SPACE-TRUSSES

DAMAGE DETECTION, LOCATION, AND ESTIMATION FOR SPACE-TRUSSES

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1993 SMART STRUCTURES AND MATERIALS CONF : SMART STRUCTURES AND INTELLIGENT SYSTEMS

作者： LINDNER, DK GOFF, R Virginia Polytechnic Institute and State Univ. (United States) Fiber and Sensor Technologies Inc. (United States)

ISBN: (纸本)0819411507

In this paper we describe a new algorithm for the detection, location, and estimation of damage on a space truss using parameter identification techniques. The concept is to start with a model of the truss which is known to accurately model the healthy truss. This healthy model of the truss is periodically updated using dynamic response data. When damage has occurred, a damage model of the truss is constructed from dynamic response data using an identification algorithm. By comparing the parameters in the truth model with the parameters of the damage model, the damage is detected, located, and the extent of the damage accessed. The algorithm proposed here uses an explicit model of the damage to the truss. This description of the damage allows the algorithm search over a smaller set of possible damage models with attendant increase in performance. In addition to locating the damage, an estimate of the damage is also given. The performance of this algorithm for locating and estimating damage is presented in the form of three example problems including a 44 dof planar truss.

关键词： Data modeling Intelligence systems Systems modeling Algorithm development Damage detection Chemical elements detection and tracking algorithms Smart structures Matrices Mathematical modeling

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PLANNING TOOLS FOR THE OPTICAL ACCESS NETWORK

PLANNING TOOLS FOR THE OPTICAL ACCESS NETWORK

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Conf on Transport Technologies for Broadband Optical Access Networks

作者： SENIOR, M ASUMU, DE BICKERS, L FINEGAN, T MANCHESTER METROPOLITAN UNIV DEPT ELECT & ELECTR ENGN MANCHESTER M1 5GD LANCS ENGLAND

ISBN: (纸本)0819412201

A software package is described which has been developed to assist in the process of both design and planning associated with passive optical access networks. The package constitutes a set of basic tools which enable the complete characterization of a number of key technical parameters of optical access networks. The optical networks which can be configured and analyzed using the package are specified visually on a design location and can adopt any topology. Hence a completely general interconnection of nodes and links is permitted. Furthermore an optical access network consisting of several independent networks can also be analyzed. The analytical output of the package consists of a complete spectral power budget specification along any path in the network, the optical return losses on any path, an optical time domain reflectometer (OTDR) display, and the spectral dependence of both the power budget and the return loss.

关键词： Optical networks Transmitters detection and tracking algorithms Image compression Optical fibers Network architectures Reflectometry Passive optical networks Reflective displays Visualization

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VALIDATION AND UTILITY OF THE BACKGROUND MODEL IN THE ADVANCED SURVEILLANCE TESTBED

VALIDATION AND UTILITY OF THE BACKGROUND MODEL IN THE ADVANC...

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5TH CONF ON SIGNAL AND DATA PROCESSING OF SMALL TARGETS

作者： SINGKOFER, KA MCCARTHY, JE General Research Corp. (United States)

ISBN: (纸本)0819411906

Several factors are important in the development and evaluation of signal and data processing algorithms. Critical among these factors is the accurate representation of the backgrounds against which targets may need to be detected and tracked. A background model has been developed in the Advanced Surveillance Testbed which supports the evaluation of multi-target algorithms associated with electro-optical sensors. In this paper, a discussion of the synthetic background model which is part of the Advanced Surveillance Testbed, its validation and its utility is given. The synthetic background model employs an equation-based design and, as it currently exists, is composed of a cloud model, a terrestrial model and radiative transfer calculations. The validation of the synthetic background model has been done against both theoretical results and full background scenes; results are presented and discussed. The utility of the equation-based design in providing flexibility, convenience and capability is presented and discussed.

关键词： Clouds Electro optical modeling Scattering detection and tracking algorithms Algorithm development Surveillance Atmospheric modeling Fractal analysis Radiative transfer Signal processing

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PROBLEMS OF PRECISE TARGET LOCATION AND CAMERA ORIENTATION IN DIGITAL CLOSE-RANGE PHOTOGRAMMETRY 2

PROBLEMS OF PRECISE TARGET LOCATION AND CAMERA ORIENTATION I...

引用

2nd SPIE Conference on Videometrics

作者： JANSA, J HUANG, YR TRINDER, JC UNIV TECHNOL VIENNA INST PHOTOGRAMMETRY & REMOTE SENSINGA-1040 VIENNAAUSTRIA

ISBN: (纸本)0819413321

A close-range application for medical purposes uses video CCD cameras and a control field of small balls for camera calibration and orientation. The spherical shape enables robust detection as the image of ball must always be very similar to a circle. Partly occluded or shadowed control points can be detected and rejected. On the other hand this shape is sensitive to illumination effect which influences the point location procedures. Erroneously located points might not be detected during orientation, thus causing distortions of the restituted 3D object. This article investigates the effect which can occur and checks the robustness of various point locating methods by using simulated examples. Edge extraction and feature matching can deliver good results. Finally one method based on Forstner operator is presented.

关键词： Cameras Calibration 3D acquisition 3D image processing Light sources and illumination detection and tracking algorithms Feature extraction Light sources Photogrammetry CCD cameras

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OBJECT RECOGNITION USING FUZZY SET-THEORETIC TECHNIQUES 2

OBJECT RECOGNITION USING FUZZY SET-THEORETIC TECHNIQUES

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2ND INTERNATIONAL CONF ON ADAPTIVE LEARNING SYSTEMS

作者： MALAVIYA, A MALAVIYA, P German National Research Ctr. for Computer Science (United States) Univ. of Maryland (United States)

ISBN: (纸本)0819411981

In this paper state of the art of the fuzzy logic based visual object recognition systems are discussed. One of the major objectives of the computer vision is to recognize various objects from images. Application of fuzzy logic facilitates the smooth translation of ambiguous image information into natural language which can be processed by fuzzy set theory. Various methods of fuzzy object recognition are presented. Some rule based techniques are mentioned to show the applicability of object recognition in consumer electronics. A brief summary of fusion with neural networks and genetic algorithms is given.

关键词： Fuzzy logic Object recognition Prototyping detection and tracking algorithms Image segmentation Edge detection Algorithm development Image processing Neural networks Image understanding

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ADAPTIVE PROCESSING IN RADAR POLARIMETRY

ADAPTIVE PROCESSING IN RADAR POLARIMETRY

引用

CONF ON RADAR POLARIMETRY

作者： WANG, Y OUMANSOUR, K POTTIER, E SAILLARD, J IRESTE/Univ. of Nantes (France)

ISBN: (纸本)0819409219

In this paper, an adaptive polarimetric system is proposed, which allows for the minimization of the contribution of a stationary clutter by adapting the polarization state of the receiving antenna to the polarimetric signature of the environment by using the minimum power criterion. From the knowledge of the polarimetric signature of the environment and by applying the least mean square criterion, we can detect the presence of targets and estimate their polarimetric parameters. An algorithm of CFAR (Constant False Alarm Rate) is developed to detect the presence of a radar target and of its disappearance.

关键词： Polarimetry Radar Target detection Polarization Sensors detection and tracking algorithms Antennas Algorithm development Environmental sensing Matrices

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DOCUMENT SKEW ANGLE detection ALGORITHM 2

DOCUMENT SKEW ANGLE DETECTION ALGORITHM

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CONF ON VISUAL INFORMATION PROCESSING 2

作者： LE, DX THOMA, GR National Library of Medicine (United States)

ISBN: (纸本)0819411973

As part of research into document image processing, an algorithm has been developed to detect the degree of skew in a scanned binary image. The principal components of the algorithm are component labelling, a procedure to reduce the amount of data to be processed, a technique to minimize the effect of non-textual data (graphics, forms, line art, large fonts, and dithered images) on the measurement of skew angle, and the Hough transform. The performance of the algorithm has been evaluated using a sample size of several hundred images of medical journal pages. Evaluation shows that a skew angle may be detected with an accuracy of about 0.50 degree.

关键词： Binary data Hough transforms Image processing detection and tracking algorithms Image segmentation Algorithm development Medical imaging Image processing algorithms and systems Visual information processing Data processing

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MORPHOLOGY-BASED ALGORITHM FOR POINT TARGET detection IN INFRARED BACKGROUNDS

MORPHOLOGY-BASED ALGORITHM FOR POINT TARGET DETECTION IN INF...

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5TH CONF ON SIGNAL AND DATA PROCESSING OF SMALL TARGETS

作者： TOM, VT PELI, T LEUNG, M BONDARYK, JE Atlantic Aerospace Electronics Corp. (United States)

ISBN: (纸本)0819411906

A morphology-based algorithm has been developed for point target detection in IRST applications. It exhibits comparable detection and false alarm performance to a median filter. The morphology-based algorithm has an efficient computational paradigm based on combinations of simple nonlinear grayscale operations, which makes it ideally suited to real- time, high data rate IRST applications. A detection filter based on morphological background estimation exhibits spatial high-pass characteristics emphasizing target-like peaks in the data and suppressing all other clutter. Example cases are presented which point out the detection performance differences between the morphological and median approaches. Overall performance results were generated in the form of ROC curves for cloud, horizon and sea clutter IRAMMP backgrounds.

关键词： Digital filtering detection and tracking algorithms Target detection Image filtering Nonlinear filtering Clouds Filtering (signal processing) Linear filtering Infrared search and track Algorithm development

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