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

共 1721 条记录，以下是351-360 订阅

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Feature Extraction from Ladar Data Using Modified GPCA

Feature Extraction from Ladar Data Using Modified GPCA

引用

Conference on Image Processing - algorithms and Systems X and Parallel Processing for Imaging Applications II

作者： Stiller, Peter F. Texas A&M Univ Dept Math College Stn TX 77843 USA

ISBN: (纸本)9780819489425

In this paper we present a method for extracting feature information from ladar data presented in the form of a spatial point cloud. The method exploits a modified version of Generalized Principal Component Analysis (GPCA) to extract planar, or even non-linear, surface elements from this sort of data. The essential difficulty is that, depending on the aspect of the object, certain surfaces will be minimally exposed. As a result we cannot say in advance how many surfaces we are looking for, and we cannot reliably detect surfaces that are hit by only a few of the points in the cloud. An additional difficulty occurs when reconstructing the surface normal at points near where two surfaces join. The algorithm handles both issues and captures enough essential surface features to allow accurate alignment to say a CAD model for detailed recognition. One can also use the extracted planar facets as a kind of partial bounding polyhedron (modified partial bounding box) as input to an initial identification algorithm that works off of the invariants of the planar arrangement.

关键词： Data modeling detection and tracking algorithms Principal component analysis Image segmentation Clouds Computer aided design LIDAR Solid modeling Feature extraction Statistical modeling

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ADAPTIVE ALGORITHM FOR EDGE detection IN MEDICAL IMAGE PROCESSING

ADAPTIVE ALGORITHM FOR EDGE DETECTION IN MEDICAL IMAGE PROCE...

引用

3-Dimensional Microscopy - Image Acquisition and Processing II Conference

作者： SHI, JY CHEN, TZ CAI, WL ZHEJIANG UNIV STATE KEY LAB CAD & CGZHEJIANG 310027PEOPLES R CHINA

ISBN: (纸本)0819417599

This paper presents a method of automatic segmentation in sequence medical tissue slice images with high noise. A seed growing method which is constrained by the parameter table is used to detect edge. Priority and step parameter are used to adaptive adjust the detection. The paper described the mechanism to change the priority and detect parameter and their step in detail. The authors designed an evaluation function to search the state space.

关键词： Image segmentation Image processing algorithms and systems Image processing Medical imaging Edge detection Tissues detection and tracking algorithms Bone Brain Neuroimaging

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NEW ASSIGNMENT algorithms FOR DATA ASSOCIATION

NEW ASSIGNMENT ALGORITHMS FOR DATA ASSOCIATION

引用

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

作者： CASTANON, DA Boston Univ. (United States)

ISBN: (纸本)0819408638

This paper presents an overview of new classes of algorithms for the algorithm concepts for the solution of combinatorial optimization problems arising in data association. These algorithms are based on extensions of Bertsekas' auction algorithm. The paper includes experimental results using these algorithms and a modification of the algorithm of Jonker and Volgenant on 2-dimensional measurement-track data association problems in the presence of false alarms, missed detections, sensor bias noise, and sensor measurement noise. The results indicate that some of the new algorithms are very efficient for the solution of these data association problems.

关键词： detection and tracking algorithms Algorithm development Sensors Data processing Signal processing Data modeling algorithms Information operations Optimization (mathematics) Radon

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A sub-optimal, yet effective, non-coherent change detection algorithm for multi-look SAR imagery

A sub-optimal, yet effective, non-coherent change detection ...

引用

Conference on detection and Remediation Technologies for Mines and Minelike Targets IX

作者： Ranney, K Khatri, H USA Res Lab AMSRL SERU Adelphi MD 20783 USA

ISBN: (纸本)0819453382

ne Army Research Laboratory (ARL) has examined single-polarity, synthetic aperture radar (SAR) data collected in spotlight mode at X band as part of an effort to identify land mines in radar imagery. This data set consisted of several single-polarization, extremely high-resolution, spotlight-mode SAR images from multiple passes over a common target area that included various reference reflectors as well as the landmines. In particular, certain mines were placed in the scene for only a portion of the data collection, creating an opportunity for the investigation of various change detection algorithms. We describe a suboptimal, yet effective, change detection algorithm based on a Mahalanobis-like distance metric, and we apply it to a recently collected SAR data set.

关键词： Synthetic aperture radar detection and tracking algorithms Mining Image processing Algorithm development Land mines Target detection Sensors Analytical research Radar

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Uncertainty Estimation of the Bounding Box Centroid for Autonomous Driving

Uncertainty Estimation of the Bounding Box Centroid for Auto...

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Conference on Autonomous Systems - Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure

作者： Yang, Kaipei Ye, Shida Bar-Shalom, Yaakov Hunt, Shawn Univ Connecticut Dept ECE Storrs CT 06269 USA DENSO Int Amer Inc Southfield MI USA

ISBN: (纸本)9781510651074;9781510651067

Object detection provides information needed for target tracking and plays a core role in autonomous driving. In this work, we study the uncertainty in the estimation of the centroid (position) of a bounding box of the measurements from an object detected by the sensor of an autonomous vehicle (AV). The estimated centroid uncertainty will be used in object tracking as measurement noise variance, which is not available from the sensor manufacturer, for measurement association and target state estimation. When the (position) uncertainty that captures the noise inherent in the sensor observations is available for each detected point (this can be done using Bayesian deep learning), the bounding box centroid uncertainty is obtained using a Least-Squares estimator (LS). When the uncertainty for each detected point is not available, one can assume a uniform distribution of the clustered points in a single rectangular bounding box. A Maximum Likelihood estimator is used for the bounding box centroid estimation. Experiments using real data are carried out to show the performance of proposed methods for autonomous driving applications. A comparison with the sample mean approach showed the superiority of new algorithm.

关键词： LIDAR Sensors Neural networks detection and tracking algorithms Error analysis Clouds Machine learning Motion estimation Statistical analysis Target detection

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Algorithm implementation and techniques for providing more reliable overlay measurements and better tracking of the Shallow Trench Isolation (STI) process

Algorithm implementation and techniques for providing more r...

引用

Conference on Metrology, Inspection, and Process Control for Microlithography XIII

作者： Schramm, D Bowles, D Mastovich, M Knutrud, PC Tyurina, A Micron Semicond Boise ID USA

ISBN: (纸本)0819431516

The intent of Chemical Mechanical polishing (CMP) is to minimize topography across a wafer. Topography is essential for edge contrast in optical overlay metrology(1). Many of the advanced CMP processes cause a reduction in step height to much less than 20 Angstroms(2). Conventional Overlay Metrology measurement optics require step heights in excess of 50 Angstroms to provide sufficient signal and contrast for algorithms to function properly. CMP further complicates the measurement task by causing significant step height and film thickness (contrast) variations as well as introducing asymmetry across a single overlay measurement target(3). Such targets can be difficult to measure in standard metal and contact CMP applications let alone more modem front end CMP processes like shallow Trench Isolation (STI). The registration marks become much more difficult to observe. Robust broadband optics with spatial filtering improves the contrast of the image;but the granularity of the substrate, the variation in edge detail, and the asymmetry of the registration mark can overwhelm a standard measurement algorithm. The registration mark measurement precision, accuracy and success rate can suffer due to the process variation in an aggressive front end CMP application such as STI. This paper presents the results of a new algorithm designed to improve the success rate;precision and accuracy of the measurements for low contrast targets produced by STI. The paper will also review the algorithm and discuss the results of target design optimization. Results will be provided from multiple lots with multiple wafer analyses demonstrating the effectiveness of the algorithm. Measurement yields improve from the 35% - 50% success rate using current algorithms to 99% - 100% success rate using the new algorithm. Precision was improved from 10nm to 3nm, and as low as 1.2 nanometers 3 sigma. The true success of the algorithm is not just the improved measurement success, precision and accuracy;but

关键词： detection and tracking algorithms Semiconducting wafers Chemical mechanical planarization Oxides Overlay metrology Silicon Wafer-level optics Edge detection Image registration Opacity

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PERFORMANCE PREDICTION OF tracking IN CLUTTER WITH NEAREST-NEIGHBOR FILTERS

PERFORMANCE PREDICTION OF TRACKING IN CLUTTER WITH NEAREST-N...

引用

Conference on Signal and Data Processing of Small Targets 1994

作者： LI, XR BARSHALOM, Y UNIV HARTFORD DEPT ELECT ENGNW HARTFORDCT 06117

ISBN: (纸本)0819415391

The measurement that is `closest' to the predicted target measurement is known as the `nearest neighbor' measurement in target tracking. A common method currently in wide use for tracking in clutter is the so-called nearest neighbor filter, which uses only the nearest neighbor measurement as if it is the true one. This paper presents a technique for prediction without recourse to expensive Monte Carlo simulations of the performance of the nearest neighbor filter. This technique can quantify the dynamic process of tracking divergence as well as the steady state performance. The technique is based on a general approach to the performance prediction of algorithms with both continuous and discrete uncertainties developed recently by the authors.

关键词： Electronic filtering Error analysis Plasma display panels Target detection Algorithm development Monte Carlo methods detection and tracking algorithms Filtering (signal processing) Time metrology Aluminum

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Continuous processing of acoustic data for landmine detection

Continuous processing of acoustic data for landmine detectio...

引用

Conference on detection and Remediation Technologies for Mines and Minelike Targets VII

作者： Hocaoglu, AK Gader, PD Univ Florida Dept Comp & Informat Sci & Engn Gainesville FL 32611 USA

ISBN: (纸本)0819444928

Methods for processing continuously acquired data using an Acoustic/Seismic system are described. Data were acquired from 80-300 Hz. Two independent chains of processing were pursued. In one chain, pre-processing and normalization were followed by shape feature extraction using eccentricity and minor axis length. In another chain, Independent Component Analysis was used to generate image templates. The results were combined using piecewise linear discriminants. Probabilities of detection of 97.5% and 100% with false alarm rates of 0.01 and 0.03 were achieved on training and validation sets, respectively.

关键词： Mining Independent component analysis Sensors Land mines Acoustics Data acquisition detection and tracking algorithms Laser Doppler velocimetry 3D image processing Feature extraction

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RECENT RESULTS IN ADAPTIVE ARRAY detection

RECENT RESULTS IN ADAPTIVE ARRAY DETECTION

引用

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

作者： KALSON, SZ Lincoln Lab./MIT (United States)

ISBN: (纸本)0819406945

Some recent results in the theory of adaptive array detection are presented. detection curves are given for various detection algorithms. These detection algorithms are suitable for nulling out noise or interference sources in which the noise statistics are to be estimated from target- free data. They share the constant false alarm rate property, so that their false alarm rate can be set without knowledge of the noise covariance matrix. Also considered is a detection algorithm employing diagonal loading.

关键词： Sensors Signal detection detection and tracking algorithms Signal attenuation Phased arrays Signal processing Detector arrays Target detection Monte Carlo methods Signal to noise ratio

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EXPERIMENTAL SYSTEM USING AN INTERACTIVE DRAWING INPUT METHOD

EXPERIMENTAL SYSTEM USING AN INTERACTIVE DRAWING INPUT METHO...

引用

CONF ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING : VISUAL COMMUNICATIONS

作者： NAGANO, Y KANECHIKA, H TANAKA, S MAEHARA, H MAEDA, A Mitsubishi Electric Corp. (Japan)

ISBN: (纸本)0819407429

It is very laborious and costs much to input paper-based drawings into computer using digitizing tablets. And there are many drawings that cannot be recognized by conventional automatic drawing input systems. To cope with these drawings, we are developing an interactive drawing input system that helps manual digitizing with automatic recognition technology. The operator has only to specify the kind of figures and click some points on the drawing to specify approximate position and shape of the figure, and the system immediately recognizes the figure's position and shape exactly.

关键词： Visual communications Image processing Target recognition Raster graphics Telecommunications Computing systems detection and tracking algorithms Ions Object oriented programming Tablets

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