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

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MULTISTAGE, HIGHER-ORDER SDF FILTERS

MULTISTAGE, HIGHER-ORDER SDF FILTERS

引用

CONF ON HYBRID IMAGE AND SIGNAL PROCESSING 2

作者： BRASHER, JD HESTER, CF LAWSON, DW SIMS, R Teledyne Brown Engineering (United States) U.S. Army Aviation and Missile Command (United States)

ISBN: (纸本)0819403482

A goal-driven approach to the design of SDF correlation filters is described. It is shown that a variety of filters, each designed for a specific goal or result, are derived from a common generic form which is a multi-stage extension of the conventional SDF filter. The SDF construction affords many degrees of freedom which can be exploited to effect a specialized result.

关键词： Filtering (signal processing) detection and tracking algorithms Image filtering Electronic filtering Signal processing Interference (communication) Critical dimension metrology Linear filtering Target detection Missiles

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UNIFYING PARAMETRIZED VLSI JACOBI algorithms AND ARCHITECTURES 4

UNIFYING PARAMETRIZED VLSI JACOBI ALGORITHMS AND ARCHITECTUR...

引用

4TH CONF ON ADVANCED SIGNAL PROCESSING algorithms, ARCHITECTURES, AND IMPLEMENTATIONS

作者： DEPRETTERE, EF MOONEN, M Delft Univ. of Technology (Netherlands) Katholieke Univ. Leuven (Belgium)

ISBN: (纸本)0819412767

Implementing Jacobi algorithms in parallel VLSI processor arrays is a non-trivial task, in particular when the algorithms are parametrized with respect to size and the architectures are parametrized with respect to space-time trade-offs. The paper is concerned with an approach to implement several time-adaptive Jacobi-type algorithms on a parallel processor array, using only Cordic arithmetic and asynchronous communications, such that any degree of parallelism, ranging from single-processor up to full-size array implementation, is supported by a `universal' processing unit. This result is attributed to a gracious interplay between algorithmic and architectural engineering.

关键词： Array processing Signal processing Very large scale integration Computer aided design Parallel computing Process control MATLAB Computer architecture detection and tracking algorithms Electrical engineering

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EXTRACTION OF 2D GROUPINGS FOR 3D OBJECT RECOGNITION 3

EXTRACTION OF 2D GROUPINGS FOR 3D OBJECT RECOGNITION

引用

Conference on Visual Information Processing III

作者： ARSENEAULT, JL BERGEVIN, R LAURENDEAU, D UNIV LAVAL DEPT ELECT ENGNCOMP VIS & SYST LABQUEBEC CITY G1K 7P4QUEBECCANADA

ISBN: (纸本)081941543X

An approach for the recognition of 3D objects from single 2D views is presented. Using perceptual organization, hierarchies of features based on parallelism, co-linearity, and intersection are generated. Our local grouping algorithm is particularly inspired by the formalism defined by Etamadi et al., which is concerned with the formation of self-consistent groupings of straight lines from which all higher level groupings may be derived. Our approach extends this formalism to circular arcs. Surfaces in the scene are then extracted based on perceptual laws of symmetry and closure. The recognition process uses relational graphs of surfaces constructed by establishing the proximity, adjacency, and inclusion relations that exist between the surfaces. We identify closures which can be interpreted as the borders of the visible surfaces of objects and can also be used to describe the 2D shape of the surfaces. We show that a graph can be constructed from the relations between these closures and that similarities can be extracted from two different graphs obtained by analyzing two views of the same scene. Typical results obtained for complex indoor scenes are presented.

关键词： Image segmentation detection and tracking algorithms Object recognition Algorithm development Visual information processing Lutetium Image processing algorithms and systems Computer vision technology Feature extraction Machine vision

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Exact and approximate cone-beam reconstruction algorithms for C-arm based cone-beam CT using a two-concentric-arc source trajectory

Exact and approximate cone-beam reconstruction algorithms fo...

引用

Medical Imaging 2008 Conference

作者： Zhuang, Tingliang Zambelli, Joseph Nett, Brian Leng, Shuai Chen, Guang-Hong Univ Wisconsin Dept Med Phys Madison WI 53792 USA

ISBN: (纸本)9780819470973

In this paper, we present shift-invariant filtered backprojection (FBP) cone-beam image reconstruction algorithms for a cone-beam CT system based on a clinical C-arm gantry. The source trajectory consists of two concentric arcs which is complete in the sense that the Tuy data sufficiency condition is satisfied. This scanning geometry is referred to here as a CC geometry (each are is shaped like the letter "C"). The challenge for image reconstruction for the CC geometry is that the image volume is not well populated by the familiar doubly measured (DM) lines. Thus, the well-known DM-line based image reconstruction schemes are not appropriate for the CC geometry. Our starting point is a general reconstruction formula developed by Pack and Noo which is not dependent on the existence of DM-lines. For a specific scanning geometry, the filtering lines must be carefully selected to satisfy the Pack-Noo condition for mathematically exact reconstruction. The new points in this paper are summarized here. (1) A mathematically exact cone-beam reconstruction algorithm was formulated for the CC geometry by utilizing the Pack-Noo image reconstruction scheme. One drawback of the developed exact algorithm is that it does not solve the long-object problem. (2) We developed an approximate image reconstruction algorithm by deforming the filtering lines so that the long object problem is solved while the reconstruction accuracy is maintained. (3) In addition to numerical phantom experiments to validate the developed image reconstruction algorithms, we also validate our algorithms using physical phantom experiments on a clinical C-arm system.

关键词： Reconstruction algorithms Algorithm development Image restoration Sensors Image filtering Data acquisition detection and tracking algorithms Optical filters Computed tomography X-ray computed tomography

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POLYCHROMATIC NEUROCOMPUTING

POLYCHROMATIC NEUROCOMPUTING

引用

INTERNATIONAL TOPICAL MEETING ON OPTICAL COMPUTING ( OC 92 )

作者： YU, FTS YANG, XY GREGORY, DA Pennsylvania State Univ. (United States)

A polychromatic optical neuro-computer for color pattern recognition with cascaded liquid crystal televisions (LCTV) is presented. Extension of this neural net to multichannel operation is proposed and preliminary exp... 详细信息

ISBN: (纸本)0819410063

关键词： Liquid crystals Neural networks RGB color model Signal detection Optical computing detection and tracking algorithms Detector arrays Televisions Optical pattern recognition Spatial light modulators

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Compression-based steganalysis of LSB embedded images

Compression-based steganalysis of LSB embedded images

引用

Conference on Security, Steganography and Watermarking of Multimedia Contents VIII

作者： Boncelet, C Marvel, L Raglin, A Univ Delaware Newark DE 19716 USA

ISBN: (纸本)0819461121

We present a new method of steganalysis, the detection of hidden messages, for least significant bits (LSB) replacement embedding. The method uses lossless image compression algorithms to model images bitplane by bitplane. The basic premise is that messages hidden by replacing LSBs of image pixels do not possess the same statistical properties and are therefore likely to be incompressible by compressors designed for images. In fact, the hidden data are usually compressed files themselves that may or may not be encrypted. In either case, the hidden messages are incompressible. In this work, we study three image compressors, one a standard and two we developed. The results are that many images can be eliminated as having possible steganographic content since the LSBs compress more than a hidden message typically would.

关键词： Image compression Steganalysis Steganography Bridges detection and tracking algorithms Algorithm development Analytical research Image filtering Image quality standards Standards development

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New directions in the development of the ORASIS algorithm

New directions in the development of the ORASIS algorithm

引用

Conference on Imaging Spectrometry IX

作者： Bowles, J Chen, W Gillis, D USN Res Lab Remote Sensing Div Washington DC 20375 USA

ISBN: (纸本)0819450324

The Optical Real-time Adaptive Spectral Identification System (ORASIS) continues to be developed by the Naval Research Laboratory. Recently, new methods to compress hyperspectral data using ORASIS in combination with wavelets have been demonstrated. Variations on this approach continue to be pursued and will be discussed. In addition, a new method to perform target identification based on Spectral Angle Mapper (SAM) has been demonstrated. When projected into a reduced dimension space, angles between spectra are not conserved. Proper determination of the dimensions and coordinates of the subspace can result in maximizing the angles between a spectrum of interest and the general background. This approach can be used for target identification where the "target" can be a rare spectrum or something found in the general background. Recent improvements to these methods, as well as new applications of the software, are discussed.

关键词： Algorithm development Wavelets detection and tracking algorithms Target detection Error analysis RGB color model Sensors Signal to noise ratio Target recognition Analytical research

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Assuring Autonomy 4

Assuring Autonomy

引用

Conference on Disruptive Technologies in Information Sciences IV

作者： Bharadwaj, Ramesh Naval Res Lab Ctr High Assurance Comp Syst 4555 Overlook Ave SW Washington DC 20375 USA

ISBN: (纸本)9781510636163

Autonomous systems, including self-driving cars and air vehicles, have caught the imagination of the press and the public. However, broader adoption of such systems in safety-critical applications has been the subject of intense debate and scrutiny. The stunning performance of deep learners compared to extant methods, including pattern matching, statistical methods, and legacy machine learning algorithms, has taken the research world by storm. This has naturally led the DoD community to ask the question: "How do we harness this technology being unleashed upon the world?" Before we answer this question, however, it is important to note that trust is integral to DoD applications, including autonomous systems, and ensuring reliable system operations is paramount. Therefore, we need strategies that harness deep learning algorithms to provide the DoD with autonomous systems that are robust, secure, timely and dependable.

关键词： Data modeling Neural networks Neurons Machine learning Computing systems Visualization detection and tracking algorithms

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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...

引用

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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POLARIMETRIC TECHNIQUES FOR ENHANCING SAR IMAGERY

POLARIMETRIC TECHNIQUES FOR ENHANCING SAR IMAGERY

引用

CONF ON SYNTHETIC APERTURE RADAR

作者： VERBOUT, SM NETISHEN, CM NOVAK, LM Lincoln Lab./MIT (United States)

ISBN: (纸本)0819407763

This paper describes several techniques for enhancing fully polarimetric, high-resolution synthetic aperture radar (SAR) imagery. Image enhancement is viewed as a pre-processing step to prepare the SAR data for sophisticated detection, discrimination, and classification algorithms. The paper considers enhancement techniques that use polarimetric information in the imagery to achieve one or both of the following goals: (1) reduction of image speckle, and (2) improvement in target-to-clutter contrast. Three enhancement techniques are presented: the polarimetric whitening filter (PWF), the polarimetric enhancement filter (PEF), and the polarimetric matched filter (PMF). These polarimetric processing techniques are applied to actual SAR data gathered by the Lincoln Laboratory MMW airborne sensor. The resulting target and clutter statistics are compared for typical data sets at both 1ft by 1ft resolution and lm by lm resolution.

关键词： Polarimetry Synthetic aperture radar Image enhancement detection and tracking algorithms Extremely high frequency Image classification Sensors Speckle

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