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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3038792
Abstract: The traditional kernel correlation filter (KCF) algorithm has poor tracking results in complex scenes with severe occlusion, deformation, and low resolution and cannot achieve long-term tracking. To improve the accuracy of the tracking algorithm in…
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Keywords:
complex scenes;
kernel correlation;
algorithm;
correlation filter ... See more keywords
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Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2963999
Abstract: Traditional coherence algorithms are mostly based on the assumption that seismic traces are Gaussian and linear correlative. However, for nonGaussian seismic traces, the linear correlation analysis cannot accurately describe the similarity between adjacent seismic traces.…
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Keywords:
coherence algorithm;
algorithm based;
seismic traces;
correlation ... See more keywords
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Published in 2020 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2965482
Abstract: Discriminative Correlation Filter (DCF) based trackers are quite efficient in tracking objects by exploiting the circulant structure. The kernel trick further improves the performance of such trackers. The unwanted boundary effects, however, are difficult to…
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Keywords:
constrained multi;
correlation;
multi kernel;
kernel correlation ... See more keywords