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

共 1721 条记录，以下是1491-1500 订阅

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MULTIRESOLUTION SEGMENTATION OF RANGE IMAGES BASED ON BAYESIAN DECISION-THEORY

MULTIRESOLUTION SEGMENTATION OF RANGE IMAGES BASED ON BAYESI...

引用

11TH CONF ON INTELLIGENT ROBOTS AND COMPUTER VISION : algorithms, TECHNIQUES, AND ACTIVE VISION

作者： BOULANGER, P GODIN, G National Research Council Canada (Canada)

ISBN: (纸本)0819410268

This paper describes recent work on hierarchical segmentation of range images. The algorithm starts with an initial partition of small planar regions using a robust fitting method constrained by the detection of depth and orientation discontinuities. From this initial partition represented by an adjacency graph structure, we optimally group these regions into larger and larger regions until an approximation limit is reached. The algorithm uses Bayesian decision theory to determine the local optimal grouping and the geometrical complexity of the approximation surface. This algorithm produces a hierarchical structure that can be used to represent objects with a varying level of detail by scanning through the hierarchical structure generated. Experimental results are presented.

关键词： Image segmentation Image processing algorithms and systems Data modeling Computer vision technology Error analysis Machine vision Robot vision Robots detection and tracking algorithms Signal to noise ratio

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APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO ATP FUNCTIONS

APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO ATP FUNCTIONS

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6TH CONF ON ACQUISITION, tracking, AND POINTING

作者： ELBAUM, M Electro-Optical Sciences Inc. (United States)

ISBN: (纸本)081940862X

We discuss the applicability of multi-layer Neural Networks (NN) to automatic target classification in the challenging environment of Acquisition-tracking-Pointing (ATP) systems. The merits of NN are discussed in the context of a limited training data base, which is characteristic of practical ATP situations. A computational method is reviewed which allows the quantification of large-scale NN performance for the important small-sample case. In addition, Perceptron learning for the classification of target stochastic images governed by the Poisson distribution is examined with the aid of computer simulations.

关键词： Acquisition tracking and pointing Error analysis Image classification Stochastic processes Data modeling detection and tracking algorithms Neural networks Artificial neural networks Target acquisition Signal processing

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DEMONSTRATION OF CLUTTER REDUCTION AND AIRCRAFT detection IN MULTISPECTRAL DATA

DEMONSTRATION OF CLUTTER REDUCTION AND AIRCRAFT DETECTION IN...

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4TH CONF ON THE SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1992

作者： HOFF, LE WINTER, EM Naval Ocean Systems Ctr. (United States) Technical Research Associates Inc. (United States)

ISBN: (纸本)0819408638

The DARPA multi-spectral infrared camera (MUSIC) was used for a series of experiments in Australia and Maui, Hawaii in 1991. The Maui experiments, conducted from a high mountain, concentrated on the detection of aircraft. The detection of air vehicles without the use of temporal motion (such as the case of a head-on approaching air vehicle) is a challenging problem when background clutter is present. The technique investigated was not dependent upon either the angular motion or the spectral signature of the aircraft. This approach exploits the differential transmission of the atmosphere in neighboring long wave infrared bands. This differential transmission between the target and background `colors' the background relative to the target and allows its removal. This technique was demonstrated on many examples of MUSIC data collected in Maui, Hawaii. Targets approaching the sensor head-on were successfully detected against clouds and other backgrounds using spectral along with spatial techniques. Several different algorithms were investigated and results are compared.

关键词： Sensors Clouds Target detection detection and tracking algorithms Calibration Infrared radiation Signal processing Long wavelength infrared Signal to noise ratio Optical filters

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DESIGN AND EVALUATION OF MULTIPLE HYPOTHESIS tracking FOR INFRARED SURVEILLANCE SYSTEMS

DESIGN AND EVALUATION OF MULTIPLE HYPOTHESIS TRACKING FOR IN...

引用

4TH CONF ON THE SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1992

作者： BLACKMAN, S DEMPSTER, R BROIDA, T Hughes Aircraft Co. (United States)

ISBN: (纸本)0819408638

This paper describes an overall methodology for the application of a multiple hypothesis tracking (MHT) algorithm to the IR surveillance system problem of tracking dim targets in a heavy clutter or false alarm background. First, It discusses the manner in which the detection and tracking systems are jointly designed to optimize performance. Next, it presents approximate methods that can conveniently be used for preliminary system design and performance prediction. Finally, it discusses the use of a detailed Monte Carlo simulation for final system evaluation and presents results illustrating the proposed methods and comparing predicted and simulation performance.

关键词： Monte Carlo methods Signal processing Infrared imaging Signal to noise ratio Surveillance systems Data processing Target detection Infrared search and track detection and tracking algorithms Infrared sensors

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SELF-GROWING NEURAL NETWORK ARCHITECTURE USING CRISP AND FUZZY ENTROPY

SELF-GROWING NEURAL NETWORK ARCHITECTURE USING CRISP AND FUZ...

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1ST CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS

作者： CIOS, KJ NASA Lewis Research Ctr. and Ohio Aerospace Institute (United States)

ISBN: (纸本)0819408751

The paper briefly describes the self-growing neural network algorithm, CID3, which makes decision trees equivalent to hidden layers of a neural network. The algorithm generates a feedforward architecture using crisp and fuzzy entropy measures. The results for a real-life recognition problem of distinguishing defects in a glass ribbon, and for a benchmark problem of telling two spirals apart are shown and discussed.

关键词： Neural networks Evolutionary algorithms detection and tracking algorithms Fuzzy logic Glasses Machine learning Network architectures Artificial neural networks Data hiding Tin

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ANALYSIS OF PARALLEL IMPLEMENTATIONS OF AN ARTIFICIAL NEURAL NETWORK ON SIMD SYSTEMS 3

ANALYSIS OF PARALLEL IMPLEMENTATIONS OF AN ARTIFICIAL NEURAL...

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3RD ANNUAL INTERNATIONAL CONF ON APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS

作者： MAREK, TC North Carolina State Univ. (United States)

ISBN: (纸本)0819408743

Implementation of an artificial neural network to solve a character recognition problem on highly parallel, single-instruction-multiple-data (SIMD) machines is described. A SIMD simulator workbench developed to evaluate performance of various 1, 4, 8, and 16-bit processor architectures is used for experimentation. A feed-forward neural network with 25, 25, and 3 nodes at the input, hidden, and output layers is trained by error back-propagation to classify characters represented in a pixel grid in the presence of randomly introduced pixel-flip noise. Each node in the neural network is assigned to a processor, with weights distributed across the array. Outputs of each layer are broadcast to the inputs of the next layer via the array's interprocessor communication network. The available number of processors for the network is limited to an array of size 25 X 25. Experimental results from each of the architectures supported in the simulator workbench are presented and analyzed.

关键词： Neural networks Artificial neural networks Neurons Computer architecture detection and tracking algorithms Optical character recognition Tolerancing Data communications Array processing Lead

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EVALUATION OF TACTICAL DECISION AID CODE PREDICTIONS OF FLIR RANGE PERFORMANCE

EVALUATION OF TACTICAL DECISION AID CODE PREDICTIONS OF FLIR...

引用

CONF ON CHARACTERIZATION PROPAGATION, SIMULATION OF SOURCES AND BACKGROUNDS 2

作者： COOPER, AW WALKER, PL MILNE, EA COOK, BJ Naval Postgraduate School (United States) Naval Research Lab. (United States)

ISBN: (纸本)0819408522

Tactical Decision Aid codes provide field prediction of maximum range of FLIR use using simplified local environmental parameter input. A series of experimental comparisons at sea using airborne operational FLIRs with an instrumented ship target have shown poor correlation of observed range with prediction for detection and recognition. Classification and recognition range in UFLR are found to be highly insensitive to radiosonde atmospheric profile data input. Previous work has addressed modeling of the average target to background contrast temperature difference and atmospheric propagation of contrast. This paper addresses the implementation of the MDTD and MRTD algorithms in the code. Comparisons are presented of the prediction accuracy of the UFLR TDA using the standard Moser/Hepfer algorithm and an adaptation of the Johnson criterion used in the NVEOL Ratches code. For the limited data set of the study a reduction of RMS prediction error is achieved using the NVEOL algorithm.

关键词： Target detection Forward looking infrared Atmospheric modeling detection and tracking algorithms Target recognition Data modeling Oceanography Atmospheric propagation Minimum resolvable temperature difference Submerged target modeling

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DATA FUSION OF OUTPUTS PROVIDED BY A DISTRIBUTED FIELD OF PASSIVE SENSORS

DATA FUSION OF OUTPUTS PROVIDED BY A DISTRIBUTED FIELD OF PA...

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4TH CONF ON THE SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1992

作者： JEWITT, TW General Atronics Corp. (United States)

ISBN: (纸本)0819408638

As a result of an on-going IR&D effort, General Atronics Corporation (GAC) has developed effective algorithms for automatic acquisition, tracking, and recognition of multiple targets - broadly referred to as Automatic Target Recognition (ATR) - using passive sensors on board multiple distributed platforms. The goal of AIR is to either provide timely and accurate assistance to a human operator, who is the ultimate decision maker, or he totally autonomous in extracting the necessary information, its processing, and final decision making. Applications of this technology include Electro-Optical Fire Control Systems (EOFCS), Infrared Search and Track (IRST), Infrared Counter Measures (IRCM), Covert Aircraft Recovery and tracking Systems (CARTS), Strategic Defense Initiative (SDI), Anti-Submarine Warfare (ASW), Battlefield Intelligence, and Security.

关键词： Sensors detection and tracking algorithms Target detection Data processing Target recognition Passive sensors Signal processing Algorithm development Automatic target recognition Data fusion

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DISTRIBUTED PREdetection OF MOVING POINT TARGETS WITH ANALOG VLSI

DISTRIBUTED PREDETECTION OF MOVING POINT TARGETS WITH ANALOG...

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CONF ON INFRARED READOUT ELECTRONICS

作者： BARTOLAC, TJ Aerojet Electronic Systems Div. (United States)

ISBN: (纸本)0819408492

When large-field IR sensors are quite distant from the scene, targets appear as points, so detection is based on their motion, rather than their structure. The appearance of background and clutter bright points, although eventually rejected as nontargets, unnecessarily burdens tracking algorithms. Typical approaches involve eliminating background prior to tracking, or only looking within dynamic search boxes based on previous-frame target observations. This presentation describes a method for distributed predetection of points due to moving targets, in which background points are be automatically rejected, and only those detector returns that are most likely to be from targets are be provided to the tracking algorithm. The paper discusses the retinally inspired concepts behind the proposed method, analytical and empirical evaluations of its performance, and a hardware implementation based on Mead's (1989) analog VLSI circuits, resulting in a fine-grained-parallel architecture suitable for on-focal-plane applications.

关键词： Analog electronics Sensors Target detection Capacitors Resistors detection and tracking algorithms Infrared radiation Very large scale integration Resistance Signal detection

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BAYESIAN-INFERENCE NETWORK - APPLICATIONS TO TARGET tracking

BAYESIAN-INFERENCE NETWORK - APPLICATIONS TO TARGET TRACKING

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4TH CONF ON THE SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1992

作者： KIM, K MITRE Corp. (United States)

ISBN: (纸本)0819408638

Data fusion concepts have been applied in many disciplines, but a general systematic formulation has not been well developed. This paper is intended to provide a guideline in applying data fusion techniques to a practical problem, the fusion of target identification (ID) attributes measurements. Formation of a consensus function is first presented, and is followed by construction of a hierarchical probabilistic network for computing a joint probability density. An ID fusion processing approach is described and integrated into a generalized track/data association algorithm.

关键词： Data fusion Bayesian inference Data modeling Kinematics Data processing Signal processing Radar detection and tracking algorithms Americium Sensors

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