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

共 1721 条记录，以下是1561-1570 订阅

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PATTERN-RECOGNITION WITH INCOHERENT-LIGHT AND ROTATION INVARIANCE

PATTERN-RECOGNITION WITH INCOHERENT-LIGHT AND ROTATION INVAR...

引用

7TH MEETING ON OPTICAL ENGINEERING

作者： ELIZUR, E FRIESEM, AA Weizmann Institute of Science (Israel)

ISBN: (纸本)081940537X

An algorithm based on circular harmonic expansion has been incorporated into a pattern recognition system using spatially incoherent light. In this algorithm the model used for recording the necessary recognition filter is derived from the absolute value of one of the circular harmonic components of the desired pattern so that both rotation and shift invariances are obtained. Computer simulations reveal that the algorithm can indeed provide adequate peak to background ratios regardless of the input rotation and lateral shift. The details of the algorithm along with results of computer simulations are presented.

关键词： detection and tracking algorithms Computer simulations Pattern recognition Optical engineering CRTs Algorithm development Convolution Electronics Linear filtering Optical correlators

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EFFECT OF RESAMPLING ON THE MUSIC ALGORITHM WHEN APPLIED TO INVERSE SYNTHETIC APERTURE RADAR

EFFECT OF RESAMPLING ON THE MUSIC ALGORITHM WHEN APPLIED TO ...

引用

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

作者： NASH, G Defence Science and Technology Organization and Univ. of South Australia (Australia)

ISBN: (纸本)0819406945

Inverse synthetic aperture radar (ISAR) is a radar imaging method by which the rotation of a target is utilized to produce a two dimensional image. To achieve high resolution in both range and cross range, a series of stepped frequency waveforms are transmitted. These sample the target's radar response in frequency and time. Frequency transforms to time, which is proportional to range, and time transforms to doppler frequency, which is proportional to cross range. Therefore a two dimensional Fourier transform can be applied to the two dimensional data set to produce a radar image. However this is an approximation as the data is in a polar format, which only approximates a rectangular grid. Therefore resampling (interpolation) is required to change the grid from a polar to a rectangular format. The resampling in this case is straightforward. In an attempt to obtain higher resolution images, the Fourier transform has been replaced by the multiple signal classification (MUSIC) algorithm. The justification for this is that the targets of interest are manmade and so have sharp edges and corners. Therefore they consist of a number of corner reflectors with a background of continuous reflectors. The corner reflectors by their nature will generally give much stronger reflections, so one can with a certain degree of accuracy, approximate the ship as a collection of corner reflectors. Over the small change in aspect angle for which ISAR imaging is performed, corner reflectors can be approximated as point scatterers. This leads to the data being modeled as a collection of complex exponentials with added white Gaussian noise. The noise being due to thermal noise in the radar system. This type of data set is ideal for the two dimensional MUSIC algorithm. There are two major difficulties in applying the MUSIC algorithm to ISAR imaging. First, the MUSIC estimator is more sensitive to the sampling grid being polar than the Fourier transform is. Second, the resampling is less effect

关键词： Fourier transforms Radar Reflectors Computer simulations Interference (communication) Data modeling detection and tracking algorithms Image resolution Signal processing Transform theory

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MOVING POINT TARGET tracking IN LOW SNR

MOVING POINT TARGET TRACKING IN LOW SNR

引用

CONF ON SIGNAL AND DATA PROCESSING OF SMALL TARGETS

作者： SHEN, ZK MAO, XG JIN, YP Changsha Institute of Technology (China)

ISBN: (纸本)0819405906

A three-dimensional moving target appears as a weak point in an image when it is observed by an optic system at a great distance. It is difficult to detect the target from image sequences in succession. In this paper, a new method is proposed. Its basic idea is energy accumulation, in which the image sequences containing the point target are shifted along a track and stacked up, and then the criterion of decide-in-segment and the method of auto-increasing thresholds as well as some other methods are employed to increase target detectability and reduce calculus. The result, which is similar to the one generated by accumulating over image sequences containing a motionless target, is obtained in this algorithm. The computer-simulated experimental result is given on the condition of SNR (signal-to-noise ratios), 6 db in white Gaussian background noise. It indicates that the moving point target (MPT) can be detected and tracked exactly in low SNR in the algorithm.

关键词： Signal to noise ratio Target detection Calculus Data processing Signal processing detection and tracking algorithms Interference (communication) Smoothing Computer simulations Image segmentation

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OPTICAL CORRELATION FILTERS TO LOCATE DESTINATION ADDRESS BLOCKS IN OCR

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CONF ON HIGH-SPEED INSPECTION ARCHITECTURES, BARCODING, AND CHARACTER RECOGNITION

作者： CASASENT, D RAVICHANDRAN, G Carnegie Mellon Univ. (United States)

ISBN: (纸本)0819404519

A wide variety of optical distortion-invariant correlation filters for possible use in United States Postal Service (USPS) destination address block location and reading are summarized. These filters allow the entire envelope to be processed in parallel and are selected in a hierarchy using symbolic encoding to locate (and read) key words on an envelope. With contextual data they can locate the address block the lines and key words in each and read these words at high rates with excellent P (percentage correct recognition) and Pe (percentage error).

关键词： Image filtering detection and tracking algorithms Optical character recognition Optical filters Gaussian filters Inspection Fourier transforms Interference (communication) Signal to noise ratio Chemical elements

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POST-PROCESSING OF THERMOGRAMS IN INFRARED NONDESTRUCTIVE TESTING 17

POST-PROCESSING OF THERMOGRAMS IN INFRARED NONDESTRUCTIVE TE...

引用

17TH CONF ON INFRARED TECHNOLOGY

作者： VAVILOV, VP MALDAGUE, K SAPTZIN, VM Tomsk Polytechnic Institute (Russia) Univ. Laval (Canada)

ISBN: (纸本)0819406686

Results of using the standard processing algorithms (spatial filtering, linear and non-linear transformation, histograms, etc.) to enhance the quality of thermograms in infrared NDT are discussed. More sophisticated algorithms have been developed to suppress the emissivity noise and non-uniform heating-cooling effects. In addition, some new approaches to thermal tomography are presented.

关键词： Image processing Infrared imaging Nondestructive evaluation Thermography Infrared radiation Tomography detection and tracking algorithms Imaging systems Interference (communication) 3D image processing

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AFFINE INVARIANT RECOGNITION OF GRAY SCALE OBJECTS BY FOURIER DESCRIPTORS 14

AFFINE INVARIANT RECOGNITION OF GRAY SCALE OBJECTS BY FOURIE...

引用

CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 14

作者： FENSKE, A BURKHARDT, H Technische Univ. Hamburg-Harburg (Germany)

ISBN: (纸本)0819406953

The affine invariant recognition of two-dimensional objects which have the same shape but a different gray level function is a difficult problem in computer vision. A possible solution to the problem is based on the method of affine invariant moments. However, the moments have a badly conditioned dynamic range and they turn out to be very sensitive to noise. This paper presents a new method which is based on affine invariant Fourier descriptors for planar curves. It suggests a weighted parameterization for the boundary of an object based on its gray level function. The parameter of a boundary point is defined as the sum of gray levels of the area covered by a line from the center of mass to a starting point of the boundary moving along the boundary. The parameterization is an affine mapping with respect to the transformed object and to an arbitrary starting point of the contour finder. This parameterization enables the development of affine invariant Fourier descriptors. The Fourier descriptors consider two features, the contour and the gray level function of the object. The set of Fourier descriptors which characterizes the image pattern is not complete but their capabilities for pattern separation is very good. The method is less vulnerable to noise than the method of affine invariant moments. Application tests under real conditions demonstrate the practicability of the proposed algorithm. The complexity of the algorithm for a pattern with N pixels is 0(N).

关键词： Cameras Digital image processing 3D image processing Zirconium detection and tracking algorithms Computer vision technology Image classification Machine vision Pattern recognition Transform theory

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HIGH-ACCURACY EDGE MATCHING WITH AN EXTENSION OF THE MPGC-MATCHING ALGORITHM

HIGH-ACCURACY EDGE MATCHING WITH AN EXTENSION OF THE MPGC-MA...

引用

CONF ON INDUSTRIAL VISION METROLOGY

作者： GRUEN, A STALLMANN, D ETH-Hoenggerberg (Switzerland)

ISBN: (纸本)0819406546

In industrial dimensional inspection and quality control there is an increasing need for fast and automatic high-accuracy measurement systems. For vision systems to match these requirements all system components have to be tuned carefully. A key role in such a system is played by the measurement algorithm. This paper demonstrates how the area-based multi- photo geometrical constrained (MPGC) matching algorithm can be modified for the highly accurate measurement of object edges. It can be expected that this algorithm allows the measurement of nontargeted but well-defined object features with a relative accuracy of 1:25000.

关键词： Metrology Cameras Algorithm development Automatic tracking detection and tracking algorithms Stochastic processes Sensors Sun Visual process modeling Inspection

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MATCHED SPATIAL-FILTERING BY FEATURE EXTRACTED REFERENCE PATTERNS USING CROSS-CORRELATED SIGNALS 3

MATCHED SPATIAL-FILTERING BY FEATURE EXTRACTED REFERENCE PAT...

引用

CONF ON OPTICAL INFORMATION PROCESSING SYSTEMS AND ARCHITECTURES 3

作者： KAMEMARU, S YANO, J ITOH, H Ibaraki Univ. (Japan)

ISBN: (纸本)0819406929

In this paper, a hybrid pattern recognition system is described that is based on a matched spatial filter (MSF) synthesized by feature-extracted reference patterns. Some features are extracted from test objects by computer simulations to find the optimum reference patterns for the filter. Through more than 30 simulations, four best patterns are chosen for recognition of 10 kinds of digits by the MSF. In the system, recognition is performed not by conventional autocorrelation peaks but by cross correlation signals because reference patterns for the filter are not exactly the same as the input unknown. The proposed system shows good feasibility for feature extracted pattern recognition.

关键词： Feature extraction Spatial filters Multiplexing Optical signal processing Optical filters Pattern recognition detection and tracking algorithms Computer simulations Electronic filtering Optical character recognition

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FREQUENCY BASED PATTERN-RECOGNITION USING NEURAL NETWORKS

FREQUENCY BASED PATTERN-RECOGNITION USING NEURAL NETWORKS

引用

CONF ON STOCHASTIC AND NEURAL METHODS IN SIGNAL PROCESSING, IMAGE PROCESSING, AND COMPUTER VISION

作者： LU, SW Hyper-L Inc. (United States)

ISBN: (纸本)081940697X

A pattern recognition algorithm is proposed, in frequency domain, using a backpropagation neural network. The algorithm extracts distinct frequency features from reference patterns and compares them with the corresponding features of an unknown pattern. The feature sets are learned and recognized through backpropagation neural networks. Multiple neural networks are used to form a classification network. Since the feature set extracted is significantly smaller than the pattern image, the neural network is fast and accurate. Preliminary results indicates that certain features in frequency domain remain consistent for images of the same pattern and it is possible to extract these features for pattern recognition. Experimental results have also indicated that these features can be used to distinguish one pattern from another accurately. The system presented herein exhibits the advantages over previous systems of increasing recognition accuracy, i.e., lower false identification rate, increasing recognition speed, and decreasing data storage space. A method to dynamically identify frequency features in any set of reference patterns and to classify an unknown feature set using neural network is described in detail.

关键词： Neural networks Databases Image processing Feature extraction Pattern recognition detection and tracking algorithms Neurons Signal processing Stochastic processes Machine vision

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PACKET SWITCHING ALGORITHM FOR SIMD COMPUTERS AND ITS APPLICATION TO PARALLEL COMPUTER VISION

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CONF ON HIGH-SPEED INSPECTION ARCHITECTURES, BARCODING, AND CHARACTER RECOGNITION

作者： MARESCA, M Univ. of Genoa (Italy)

ISBN: (纸本)0819404519

Single Instruction Multiple Data stream (SIMD) parallel computers are employed in a number of application fields such as computer vision requiring large computing power and exhibiting massive parallelism. When the data dependencies among the processes which an algorithm has been split into are known " a priori" " ad hoc" interconnection topologies give good performance. On the contrary when the algorithm graph is not known " a priori" low cornmunication overhead can be achieved by packet switching communication. This paper describes how packet switching can be done in SIMD parallel computers

关键词： Computing systems Packet switching detection and tracking algorithms Computer vision technology Array processing Data processing Evolutionary algorithms Optical character recognition Data communications Inspection

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