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4th International Conference on applications of Artificial Neural Networks

作者： LAZOFSON, LE KUZMA, TJ BATTELLE MEM INST COLUMBUSOH 43201

ISBN: (纸本)0819412015

Near-simultaneous, multispectral, coregistered imagery of ground target and background signatures were collected over a full diurnal cycle in the MWIR, LWIR, near-infrared, blue, green, and red wavebands using Battelle's portable sensor suite. The imagery data were processed with classical statistical algorithms and artificial neural networks to discriminate target signatures from background clutter and investigate automatic target detection and recognition schemes.

关键词： Neural networks Image processing Image segmentation Artificial neural networks Data processing Image fusion Detection and tracking algorithms Network architectures sensor fusion sensors

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REAL-TIME COMPUTATIONAL NEEDS OF A MULTIsensor FEATURE-BASED RANGE-ESTIMATION METHOD

REAL-TIME COMPUTATIONAL NEEDS OF A MULTISENSOR FEATURE-BASED...

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CONF ON sensor fusion AND AEROSPACE applications

作者： SUORSA, RE SRIDHAR, B FONG, TW NASA Ames Research Ctr. (United States) Recom Technologies Inc. (United States)

ISBN: (纸本)0819411922

The computer vision literature describes many methods to perform obstacle detection and avoidance for autonomous or semi-autonomous vehicles. Methods may be broadly categorized into field-based techniques and feature-based techniques. Field-based techniques have the advantage of regular computational structure at every pixel throughout the image plane. Feature-based techniques are much more data driven in that computational complexity increases dramatically in regions of the image populated by features. It is widely believed that to run computer vision algorithms in real time a parallel architecture is necessary. Field-based techniques lend themselves to easy parallelization due to their regular computational needs. However, we have found that field-based methods are sensitive to noise and have traditionally been difficult to generalize to arbitrary vehicle motion. Therefore, we have sought techniques to parallelize feature-based methods. This paper describes the computational needs of a parallel feature-based range-estimation method developed by NASA Ames. Issues of processing-element performance, load balancing, and data-flow bandwidth are addressed along with a performance review of two architectures on which the feature-based method has been implemented.

关键词： Image processing Detection and tracking algorithms sensor fusion Aerospace engineering IRIS Consortium sensors Image fusion Image sensors Silicon Visualization

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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...

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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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DATA fusion THROUGH SIMULATED ANNEALING OF REGISTERED RANGE AND REFLECTANCE IMAGES

DATA FUSION THROUGH SIMULATED ANNEALING OF REGISTERED RANGE ...

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CONF ON sensor fusion AND AEROSPACE applications

作者： BECKERMAN, M SWEENEY, FJ Oak Ridge National Lab. (United States)

ISBN: (纸本)0819411922

In this paper we present results of a study of registered range and reflectance images acquired using a prototype amplitude-modulated cw laser radar. Ranging devices such as laser radars represent new technologies which are being applied in aerospace, nuclear and other hazardous environments where remote inspections, 3D identifications, and measurements are required. However, data acquired using devices of this type may contain non-stationary, signal- dependent noise, range-reflectance crosstalk, and low-reflectance range artifacts. Low level fusion algorithms play an essential role in achieving reliable performance by handling the complex noise, systematic errors, and artifacts. The objective of our study is the development of a stochastic fusion algorithm which takes as its input the registered image pair and produces as its output a reliable description of the underlying physical scene in terms of locally smooth surfaces separated by well-defined depth discontinuities. To construct the algorithm we model each image as a set of coupled Markov random fields representing pixel and several orders of line processes. Within this framework we (i) impose local smoothness constraints, introducing a simple linearity property in place of the usual sums over clique potentials; (ii) fuse the range and reflectance images through line process couplings; and (iii) use nonstationary, signal- dependent variances, adaptive thresholding, and a form of Markov natural selection. We show that the resulting algorithm yields reliable results even in worst-case scenarios.

关键词： Reflectivity Image fusion fusion energy Image processing sensor fusion Aerospace engineering Data fusion Algorithm development LIDAR algorithms

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POINT CORRESPONDENCE OVER A LONG SEQUENCE OF IMAGE FRAMES

POINT CORRESPONDENCE OVER A LONG SEQUENCE OF IMAGE FRAMES

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CONF ON sensor fusion AND AEROSPACE applications

作者： ZHENG, QF CHELLAPPA, R Univ. of Maryland/College Park (United States)

ISBN: (纸本)0819411922

An automatic ego motion compensation based point correspondence algorithm is presented. A basic problem in autonomous navigation and motion estimation is automatically detecting and tracking features over consecutive frames, a challenging problem when the camera motion is significant. In general, feature displacement over consecutive frames can be approximately decomposed into two components: (i) the displacement due to camera motion which can be compensated by image rotation, scaling, and translation; (ii) the displacement due to object motion and/or perspective projection. In this paper, we introduce a two step approach: First, the motion of the camera is estimated using a computational vision based image registration algorithm. Then consecutive frames are transformed to the same coordinate system and the feature correspondence problem is solved as one of tracking moving objects using a still camera. Methods for subpixel accuracy feature matching and tracking are introduced. The approach results in a robust and efficient algorithm. Results on several real image sequences are presented.

关键词： Cameras Motion estimation Detection and tracking algorithms sensor fusion Aerospace engineering Automatic tracking Image registration Image fusion Computer vision technology Image sensors

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Visual Information Processing ii

Visual Information Processing II

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Visual Information Processing ii 1993

The proceedings contain 46 papers. The topic discussed include: aliasing as noise: a quantitative and qualitative assessment;satellite image processing using a hammering neural network;edge-detection method using visual perception;multiscale planar-curve descriptor using biorthogonal wavelet transform;spatial transformation architectures with applications: an introduction;statistical model of the noise in speckle pattern and suboptimal digital image filtering method;rectangularly and hexagonally sampled imaging-system-fidelity analysis;and neuromorphic infrared focal plane performs sensor fusion on-plane local-contrast-enhancement spatial and temporal filtering.

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MODULAR SYSTEM FOR IMAGE-ANALYSIS USING A GAME-THEORETIC FRAMEWORK

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IMAGE AND VISION COMPUTING 1992年第6期10卷 431-443页

作者： BOZMA, HI DUNCAN, JS YALE UNIV DEPT DIAGNOST RADIOLDIV IMAGING SCINEW HAVENCT 06510

The design of image analysis systems aimed at recognition of multiple deformable objects require integration of a variety of modules. These systems (i) are first decomposed into a set of interdependent modules where each module is associated with a model-based objective, and (ii) are then formed by integrating these modules within a unifying framework. Previous approaches have been limited in providing a systematic and uniform treatment of the design problem and preserving the coexisting and separate nature of the modules' objectives. In Bozma1 a framework which overcomes these limitations has been formulated using game-theoretic concepts. The contribution of this paper is to present an image analysis system which is developed systematically using the game-theoretic framework, and which is aimed at recognizing multiple deformable objects. A secondary contribution is that the models used in designing the individual modules constitute extensions of earlier efforts. Our experiments with several images, including ones from the medical domain, demonstrate the power of this system in applications such as medical image analysis.

关键词： IMAGE PROCESSING SYSTEMS sensor fusion NASH EQUILIBRIUM VISION MODULES PARALLEL algorithms AND architectures RECOGNITION DEFORMABLE OBJECTS

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Multi-target tracking and data association using learning network systems: a conceptual design

Multi-target tracking and data association using learning ne...

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IEEE Conference on Control Technology and applications (CCTA)

作者： Q.M. Lam R.N. Morgan Coleman Research Corporation Fairfax VA USA

The problem of tasking sensors and tracking multiple objects using multiple sensors which are distributed both in space and on the ground is addressed for both commercial and military applications. The data association problem is considered in a broader sense in which the assignment of an asset to an object under consideration has been added as an additional function to a traditional tracking and data association system. Suggested learning network architectures and algorithms for potentially enhancing the performance of traditional techniques are discussed and conceptualized.< >

关键词： Target tracking sensor fusion Intelligent sensors Asset management Weapons Neural networks Intelligent networks Environmental management Redundancy Measurement errors

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PERCEPT - A SOPHISTICATED EXPERIMENTAL SET-UP DEDICATED TO HETEROGENEOUS sensor fusion

PERCEPT - A SOPHISTICATED EXPERIMENTAL SET-UP DEDICATED TO H...

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1991 INTERNATIONAL CONF ON INDUSTRIAL ELECTRONICS, CONTROL AND INSTRUMENTATION

作者： DESSOUDE, O OLIVIER, C ZAVIDOVIQUE, B

ISBN: (纸本)0879426888

The study of perception, an essential function for autonomous robotics, has led to new developments in the fields of modeling, stochastic data processing, and control. The authors describe a surveillance robot dedicated to heterogeneous data fusion algorithms' implementation and real-size real-time testing, which has become necessary to validate these emerging techniques in a realistic environment. This robot holds various sensors mounted on rotational units and provides a multi-degree-of-freedom command. The design includes original distributed hardware and software architectures encompassing the specific data processing, fusion, and feedback control. Modularity and a user-friendly interface allow easy design of perception control applications.

关键词： sensor data fusion

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INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMANCE BOUNDS AND applications TO SOURCE LOCALIZATION

INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMAN...

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CONF ON ADVANCED SIGNAL PROCESSING algorithms, architectures, AND IMPLEMENTATIONS 2

作者： ARUN, KS LIANG, RM Univ. of Illinois/Urbana-Champaign (United States)

ISBN: (纸本)0819406945

Estimation and tracking of the instantaneous amplitudes and frequencies of superimposed, slowly varying narrowband signals is a difficult signal processing problem that shows up in many applications. Our approach to this problem is to achieve global noise averaging via SVD-based rank reduction of a matrix constructed from the entire data record. Compared to methods that use local noise averaging using many smaller matrices, the strength of the new approach is in affecting better noise reduction at a lower computational cost. Moreover, no model is needed for the variation of the amplitudes and frequencies with time. In this paper, Cramer-Rao bounds for the variance of the error in tracking the instantaneous amplitudes and frequencies (without assuming a parametric model for their variation with time) will be presented. In addition, we will also show how the algorithm can be used on sensor array data to estimate range and direction of multiple narrow-band sources.

关键词： sensors Signal processing Detection and tracking algorithms Signal to noise ratio Source localization Data modeling Denoising Matrices Array processing Data analysis

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