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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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ARTracker: Compute a More Accurate and Robust Correlation Filter for UAV Tracking
IEEE Geoscience and Remote Sensing Letters, 2022Unmanned aerial vehicle (UAV) tracking focus on tracking moving targets from flying platforms, where the target undergoes a lot of aspect ratio changes, that is, viewpoint change and rotation.
Junjie Chen +4 more
semanticscholar +1 more source
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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Object Saliency-Aware Dual Regularized Correlation Filter for Real-Time Aerial Tracking
IEEE Transactions on Geoscience and Remote Sensing, 2020Spatial regularization has been proved as an effective method for alleviating the boundary effect and boosting the performance of a discriminative correlation filter (DCF) in aerial visual object tracking. However, existing spatial regularization methods
Changhong Fu, Juntao Xu, Fuling Lin
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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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Gaussian-response correlation filter for robust visual object tracking
Neurocomputing, 2020This paper presents a novel correlation filter-based tracking method for robust visual object tracking in the presence of partial occlusion, large-scale variation and model drift.
Sathishkumar Moorthy +2 more
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Biometric verification with correlation filters
Applied Optics, 2004Using biometrics for subject verification can significantly improve security over that of approaches based on passwords and personal identification numbers, both of which people tend to lose or forget. In biometric verification the system tries to match an input biometric (such as a fingerprint, face image, or iris image) to a stored biometric template.
B V K, Vijaya Kumar +5 more
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An Overview of Correlation-Filter-Based Object Tracking
IEEE Transactions on Computational Social Systems, 2021In the last two decades, object tracking has been one of the prevalent fields in social media. Object tracking uses a dynamic model to track the same target, aiming to analyze the same social object and its behavior in a set of consecutive video frames ...
Shide Du, Shiping Wang
semanticscholar +1 more source
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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Performance measures for correlation filters
Applied Optics, 1990Several performance criteria are described to enable a fair comparison among the various correlation filter designs: signal-to-noise ratio, peak sharpness, peak location, light efficiency, discriminability, and distortion invariance. The trade-offs resulting between some of these criteria are illustrated with the help of a new family of filters called ...
B V, Kumar, L, Hassebrook
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