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Kalman Filter for Spatial-Temporal Regularized Correlation Filters
IEEE Transactions on Image Processing, 2021We consider visual tracking in numerous applications of computer vision and seek to achieve optimal tracking accuracy and robustness based on various evaluation criteria for applications in intelligent monitoring during disaster recovery activities.
Sheng Feng +4 more
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Unconstrained correlation filters
Applied Optics, 1994A mathematical analysis of the distortion tolerance in correlation filters is presented. A good measure for distortion performance is shown to be a generalization of the minimum average correlation energy criterion. To optimize the filter's performance, we remove the usual hard constraints on the outputs in the synthetic discriminant function ...
A, Mahalanobis +4 more
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Wiener-like correlation filters
Applied Optics, 2000We introduce a new, to our knowledge, design for a Wiener-like correlation filter, which consists of cascading a phase-only filter (POF) with a photorefractive Wiener-like filter. Its performance is compared with that of the POF and the Wiener correlation filter (WCF).
J, Khoury, P D, Gianino, C L, Woods
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Acoustooptic matched filter correlator
Applied Optics, 1982The signal model used and the output SNR(0) measure chosen are shown to affect the performance of an acoustooptic time-integrating correlator. Nonuniform acoustic fields are also shown to affect the results, but these error sources can be overcome with a new hybrid time- and space-integrating acoustooptic matched filter correlator that we describe and ...
D, Casasent, G, Silbershatz, B V, Kumar
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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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Optimal real correlation filters
Applied Optics, 1991Expressions are derived for real filters that have a maximum correlation signal to noise ratio. Both continuous and discrete cases are treated and shown to have similar forms. The signal can be complex, and the case of a real signal is considered and related to previous results.
R D, Juday, B V, Kumar, P K, Rajan
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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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