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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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Can We Track Targets From Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video
IEEE Transactions on Geoscience and Remote Sensing, 2019Despite the great success of correlation filter-based trackers in visual tracking, it is questionable whether they can still perform on the satellite video data, acquired by a satellite or space station very high above the earth.
Jia Shao, Bo Du, Chen Wu, Lefei Zhang
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The Kernel Maximal Correlation Filter
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023Yao Sun, Bo Hu, José C. PrÃncipe
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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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Compressive Distance Classifier Correlation Filter
2013 IEEE International Conference on Image Processing, 2013Compressed Sensing (CS) is seen as the pathway to increase the efficiency of sensor systems such as MRI, SAR and SAS while avoiding the huge costs and related processing accompanying high-resolution data acquisition. While there has been a surge in the number of sensor systems and related algorithms using CS, target/object recognition in the sensing ...
Karthik Mahesh Varadarajan +1 more
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Iris Verification Using Correlation Filters
2003Iris patterns are believed to be an important class of biometrics suitable for subject verification and identification applications. Earlier methods proposed for iris recognition were based on generating iris codes from features generated by applying Gabor wavelet processing to iris images.
B. V. K. Vijaya Kumar +2 more
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Application of correlation filters for texture recognition
Applied Optics, 1994We propose a new statistical method to design spatial filters to recognize and to discriminate between various textures. Unlike existing correlation filters, the proposed filters are not meant to recognize specific shapes or objects. Rather, they discriminate between textures such as terrains, background surfaces, and random image fields.
A, Mahalanobis, H, Singh
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