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

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Performance Prediction of Multinomial Pattern Matching Under Ideal Point Response Variations 23

Performance Prediction of Multinomial Pattern Matching Under...

引用

Conference on algorithms for Synthetic Aperture Radar Imagery XXIII

作者： Horvath, Matthew S. Rigling, Brian D. Wright State Univ Dept Elect Engn 3640 Colonel Glenn Highway Dayton OH 45435 USA

ISBN: (纸本)9781510600843

Typical ATR performance metrics are based on the results of empirical studies on truthed datasets where it is difficult to fully sample the space of expected variation yielding potentially false generalizations of empirical performance results to a rigorous performance assessment. This is especially difficult when many sources of variation can exist in the data, typically referred to as operating conditions. Here, we propose a general method to analytically predict the classification performance of the MPM algorithm when samples are assumed realizations of two separate MPM template parametrizations differing as a function of a single, conditionally independent operation condition. This performance prediction approach is then used to investigate the role the ideal point response has in the classification performance of synthetic aperture radar targets. The exact trade-off we study is coherently processing an aperture to yield a single higher resolution image versus non-coherently processing the aperture to yield multiple lower resolution looks of a scene. Experiments are conducted using SAR imagery from the Air Force Research Laboratories Civilian Vehicle dataset. An additional performance analysis presents an analytic approach to predict algorithm performance under additive white Gaussian noise for a general Nq allowing the performance loss under IPR variations to be mapped to an equivalent loss in signal-to-noise ratio.

关键词： Image processing Image resolution Signal to noise ratio Synthetic aperture radar Quantization Statistical analysis detection and tracking algorithms Sensors Scattering Automatic target recognition

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SALIENT CONTOUR EXTRACTION FOR TARGET RECOGNITION 5

SALIENT CONTOUR EXTRACTION FOR TARGET RECOGNITION

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CONF ON ACQUISITION, tracking, AND POINTING 5

作者： RAO, K LIOU, J Texas Instruments Inc. (United States)

ISBN: (纸本)0819405914

To achieve robust and efficient object recognition, particularly from real outdoor images, methods to reduce clutter and extract salient information of objects need to be developed. Towards this end, the authors present a technique to rank and extract salient contours from a 2-D image acquired by a passive sensor. The goal is to find important contours corresponding to possible objects. The method presented starts with edgels from an edge detector and assigns a saliency measure to linked edgels (contours) based on length, smoothness, and contrast. For length the authors use the number of edgels in the contour; for smoothness they use average change of curvature; and for contrast, the edge magnitude. Contours are ranked by saliency and the more salient contours selected. This method is tested on several real outdoor images of objects in cluttered and occluded conditions. Excellent results are obtained. Performance of this technique is evaluated in the context of a recognition system that matches 2-D image corners with 3-D model vertices. Graphs, using corners on the object of interest and clutter are used to demonstrate the appropriateness of saliency ranking. Curves are plotted to display the percentage of object corners to all image corners for the top few salient contours. Extracting the more salient contours increases the ratio of image corners on the object to all image corners, reducing the search space for the corner matching step in recognition.

关键词： detection and tracking algorithms Sensors Object recognition 3D modeling Image segmentation 3D image processing Image sensors Target recognition Passive sensors Machine vision

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DETECTING AND tracking MICROVESSELS IN CONJUNCTIVA IMAGES - AN APPROACH BASED ON MODELING AND FUZZY-LOGIC

DETECTING AND TRACKING MICROVESSELS IN CONJUNCTIVA IMAGES - ...

引用

Conference on Image Processing

作者： WICK, CE LOEW, MH KURANTSINMILLS, J USN ACAD DEPT WEAP & SYST ENGNANNAPOLISMD 21402

ISBN: (纸本)081941462X

The conjunctiva is an ideal location to study and measure the morphology of the microcirculation, because access to blood vessels at this site is essentially noninvasive. Our efforts have been directed toward automating the labor-intensive process of collecting morphological information from photographs and video images of the conjunctiva. In previous work we have developed a detailed model of the illumination/reflection processes that result in a film or video image of the bulbar conjunctiva. Using information gained from this model, we have now extended our research toward the development of robust microvessel detection and tracking algorithms. Our modeling has shown that it is possible to extract some relative 3D information about blood vessels from their gray-scale profiles. Images of the conjunctiva, however, also exhibit significant variability in their gray-scale data. We have adapted some fuzzy logic concepts to deal with this problem. These fuzzy logic algorithms have been very effective in detecting blood vessel points in these images, and have also been used to link the segments together into blood vessel tracks.

关键词： Blood vessels Image processing Image segmentation Fuzzy logic Sensors 3D modeling Binary data detection and tracking algorithms Photography Video

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MULTIORDERED MAPPING TECHNIQUE FOR TARGET PRIORITIZATION

MULTIORDERED MAPPING TECHNIQUE FOR TARGET PRIORITIZATION

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CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： KINSER, J SELZER, F Teledyne Brown Engineering (United States)

ISBN: (纸本)0819408646

This report deals with issues and concerns regarding target prioritization given a multi-target environment and a certain amount of information from a sensor suite. In the Hunter-Killer mode the commander is required to perform the critical task of determining the rank or priority of targets in a multi-target environment for handover to the gunner for negation. In the past prioritization was simply based on one criterion, namely the target class (i.e., tank, truck, jeep, etc.), where the tank would be designated as the highest priority. However, we believe that present and future battlefields will require higher order ranking schemes and criteria for ranking of the targets in a multi-target scenario. This report describes two concepts that can be utilized as a framework to perform ranking of targets. Both concepts were implemented and the performance of each with respect to a limited training set was evaluated. Initial performance results obtained with a multi-ordered mapping technique were adequate to warrant a more extensive study. The data to perform target proritization was considered to be available from a potential on-board sensor suite.

关键词： Sensors Logic Associative arrays Analog electronics Binary data detection and tracking algorithms Injuries Target detection Applied mathematics Environmental sensing

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GENETIC OPTIMIZATION OF THE PARAMETERS OF A TRACK-WHILE-DETECT ALGORITHM

GENETIC OPTIMIZATION OF THE PARAMETERS OF A TRACK-WHILE-DETE...

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CONF ON ADAPTIVE AND LEARNING SYSTEMS

作者： MONTANA, DJ Bolt Beranek & Newman Inc. (United States)

ISBN: (纸本)0819408719

We have developed an algorithm to detect the presence of narrowband signals and track the time evolution of their center frequencies. This algorithm has 35 parameters whose optimal values depend on (among other things): (1) the expected dynamics of the signals, (2) the background statistics, and (3) the clutter (i.e., the number of simultaneous signals). Manually optimizing these parameters is a difficult task not only because of the large number of parameters but also because of the interdependence of their effects on performance. We have therefore devised an automated method for optimizing the parameters. It has three basic components: (1) a 'truth' database with a graphical interface for easy manual entry of 'truth', (2) a scoring function which is a linear combination of six subscores (three evaluating detection performance and three evaluating tracking performance), and (3) a distributed genetic algorithm which optimizes the parameter values for a particular truth database. We have used this procedure to optimize the parameter values to a variety of signal types and environmental conditions. The results have been improved performance as well as the ability to make the algorithm adaptive: as the system detects changes in the environmental conditions, it can switch to a different set of parameters.

关键词： Databases detection and tracking algorithms Genetic algorithms Signal detection Algorithm development Genetics Optimization (mathematics) Signal to noise ratio Data modeling Interference (communication)

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COMPARATIVE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND CONVENTIONAL METHODS FOR MULTISPECTRAL IMAGE FUSION 3

COMPARATIVE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND CO...

引用

3RD ANNUAL INTERNATIONAL CONF ON APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS

作者： KAGEL, JH McDonnell Douglas Electronic Systems Co. (United States)

ISBN: (纸本)0819408743

This paper compares the performance of an artificial neural network technique to that of two conventional techniques in fusing (classifying) multispectral imagery. The true classification error rate is estimated by use of the k-fold cross-validation technique for a Bayesian classifier, a binary tree classifier, and a backpropagation neural network. The cascade correlation neural network is also described and its theory of operation is compared to that of the backpropagation neural network.

关键词： Neural networks Error analysis Multispectral imaging Artificial neural networks Image fusion detection and tracking algorithms Image classification Matrices Pattern recognition Statistical analysis

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More results on AMM for endmember induction

More results on AMM for endmember induction

引用

Conference on Image and Signal Processing for Remote Sensing IX

作者： Graña, M Gallego, J Univ Basque Country EHU Dept CCIA E-48080 Bilbao Spain

ISBN: (纸本)0819451215

We test a procedure for endmember extraction on a synthetic hyperspectral image. The procedure uses the Autoassociative Morphological Memories (AMM) as detectors of morphological independence conditions. To validate it we apply Convex Cone Analysis (CCA) to the same data. To generate the validation data, we synthesize the ground truth abundance images as the simulation of gaussian random fields and we use as ground truth endmembers some reflectance spectra obtained from the USGS repository.

关键词： Simulation of CCA and DLA aggregates Hyperspectral imaging Image processing Electroluminescent displays detection and tracking algorithms Binary data Remote sensing Sensors Target detection Hyperspectral simulation

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COMPARISON OF DIFFERENT PARALLEL FILTERING TECHNIQUES

COMPARISON OF DIFFERENT PARALLEL FILTERING TECHNIQUES

引用

5TH CONF ON SIGNAL AND DATA PROCESSING OF SMALL TARGETS

作者： BOURASSA, S FONTAINE, P SHAHBAZIAN, E SIMARD, MA PARAMAX Systems (Canada)

ISBN: (纸本)0819411906

tracking algorithms commonly use practical models of target motion to estimate the target's kinematic quantities such as the position, the velocity and in certain cases, the acceleration. When there is a maneuver, the tracking algorithm should detect the error created by this change and correct the situation to adapt itself to this new change or new tracking model. There are different approaches in the literature for handling maneuver detection using different filtering techniques. A thorough literature survey about different types of filtering techniques used for maneuver detection has been performed. The focus of this study has been the parallel filtering techniques. Some of those techniques given by different authors are summarized in this paper. This paper presents a parallel filter design using three linear Kalman filters with a simple switching algorithm for maneuver detection selected for the Multi Sensor Data Fusion (MSDF) for an anti-air warfare (AAW) surveillance radar. This design is relatively simple compared to other parallel Kalman filter techniques and requires modest computer resources. The parallel filter design has been compared with a single Kalman filter design previously used. The simulation results have shown a great deal of improvement with parallel filtering, particularly in speed estimations and in filtering stability when a target is maneuvering.

关键词： Filtering (signal processing) Electronic filtering detection and tracking algorithms Sensors Process modeling Digital filtering Target detection Radar Surveillance Switching

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

INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMAN...

引用

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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Verifying end-to-end system performance with the transformational information extraction model

Verifying end-to-end system performance with the transformat...

引用

Conference on Enabling Technologies for Simulation Science X

作者： Mauck, Alisha Roszyk, Greg Booz Allen & Hamilton Inc 8283 Greensboro Dr Mclean VA 22102 USA

ISBN: (纸本)0819462837

In the intelligence community, the volume of imagery data threatens to overwhelm the traditional process of information extraction. Satellite systems are capable of producing large quantities of imagery data every day. Traditionally, intelligence analysts have the arduous task of manually reviewing satellite imagery data and generating information products. In a time of increasing imagery data, this manual approach is not consistent with the goal of a timely and highly responsive system. These realities are key factors in Booz Allen Hamilton's transformational approach to information extraction. This approach employs information services and value added processes (VAP) to reduce the amount of data being manually reviewed. Booz Allen has utilized a specialization/generalization hierarchy to aggregate hundreds of thousands of imagery intelligence needs into sixteen information services. Information Services are automated by employing value added processes, which extract the information from the imagery data and generate information products. While the intelligence needs and information services remain relatively static in time, the VAP's have the ability to evolve rapidly with advancing technologies. The Booz Allen Transformational Information Extraction Model validates this automated approach by simulating realistic system parameters. The functional flow model includes image formation, three information services, six VAP's, and reduced manual intervention. Adjustable model variables for VAP time, VAP confidence, number of intelligence analyst, and time for analyst review provide a flexible framework for modeling different system cases. End-to-End system metrics such as intelligence need satisfaction, end-to-end timeliness, and sensitivity to number of analyst and VAP variables quantify the system performance.

关键词： Data modeling Image processing Systems modeling Image analysis detection and tracking algorithms Satellite imaging Satellites Data processing Databases Performance modeling

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