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Quadratic correlation filters for optical correlators
SPIE Proceedings, 2003Linear correlation filters have been implemented in optical correlators and successfully used for a variety of applications. The output of an optical correlator is usually sensed using a square law device (such as a CCD array) which forces the output to be the squared magnitude of the desired correlation.
Abhijit Mahalanobis +2 more
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Object Tracking by Branched Correlation Filters and Particle Filter
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017Correlation filter based tracking which is one of the tracking-by-detection methods, has demonstrated competitive performance in recent years. However, once the detected position is incorrect, the parameter of correlation filter is updated based on the appearance of the incorrect position.
Hitoshi Nishimura +3 more
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Correlation filters with controlled scale response
IEEE Transactions on Image Processing, 2006Correlation filtering methods are becoming increasingly popular for image recognition and location. The recent introduction of optimal tradeoff circular harmonic function filters allowed the user to specify the response of a correlation filter to in-plane rotation distortion. In this paper we introduce a new correlation filter design that can provide a
Ryan A. Kerekes, B. V. K. Vijaya Kumar
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Geophysics, 1954
Abstract Correlation analysis techniques may be applied to seismic data already subjected to standard recording and analysis procedure in an effort to extract additional information, or to raw data as an alternative filtering method. These techniques involve determination of certain parameters which provide a quantitative measure of ...
Hal J. Jones, John A. Morrison
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Abstract Correlation analysis techniques may be applied to seismic data already subjected to standard recording and analysis procedure in an effort to extract additional information, or to raw data as an alternative filtering method. These techniques involve determination of certain parameters which provide a quantitative measure of ...
Hal J. Jones, John A. Morrison
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2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2017
The nonlinear dynamic sequence Bayesian estimation model consist of 2 parts, the recursive evaluation followed by the filtered and the estimation based on predictive distributions of unmeasured time-varying signal with noise. A new model based on the combination of particle filter (PF) and correlation named correlation particle filter (CPF) is proposed
Liang Jun, Wu Yan
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The nonlinear dynamic sequence Bayesian estimation model consist of 2 parts, the recursive evaluation followed by the filtered and the estimation based on predictive distributions of unmeasured time-varying signal with noise. A new model based on the combination of particle filter (PF) and correlation named correlation particle filter (CPF) is proposed
Liang Jun, Wu Yan
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Review of Scientific Instruments, 1983
A nondispersive photometer has been developed featuring a novel harmonic signal analysis for application oriented choice of functional components. These consist of rotating gas filters and interference filters as well as solid-state and optoacoustic detectors. Applications include direct measurement of concentration ratios. Simple models explaining the
W. Olsowski, V. Nestler
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A nondispersive photometer has been developed featuring a novel harmonic signal analysis for application oriented choice of functional components. These consist of rotating gas filters and interference filters as well as solid-state and optoacoustic detectors. Applications include direct measurement of concentration ratios. Simple models explaining the
W. Olsowski, V. Nestler
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Maximum Margin Correlation Filters
2012Support vector machines (SVMs) and correlation filters (CFs) are popular for automatic target recognition (ATR) and other computer vision tasks. SVMs are designed to maximize the separation between two classes in some feature space. SVMs are popular for classification (determining the class-label of a target) and generalize well for targets not in the ...
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Minimum noise and correlation energy optical correlation filter
Applied Optics, 1992A new distortion-invariant optical correlation filter to produce easily detectable correlation peaks in the presence of noise and clutter and to provide better intraclass recognition is presented. The basic ideas of the minimum variance synthetic discriminant function correlation filter (which minimizes noise variance in the output correlation peak ...
G, Ravichandran, D, Casasent
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Joint Correlation Filtering for Visual Tracking
IEEE Transactions on Circuits and Systems for Video Technology, 2020Correlation filtering-based visual tracking has achieved impressive success in terms of both tracking accuracy and computational efficiency. In this paper, a novel correlation filtering approach is proposed by means of joint learning to bridge the gap between the circulant filtering and the classical filtering methods.
Yao Sui +2 more
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2014
Correlation filters (CFs) are well established and useful tools for a variety of tasks in signal processing and pattern recognition, including automatic target recognition and tracking, biometrics, landmark detection, and human action recognition.
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Correlation filters (CFs) are well established and useful tools for a variety of tasks in signal processing and pattern recognition, including automatic target recognition and tracking, biometrics, landmark detection, and human action recognition.
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