Jun 1, 2024 � Kernelized Correlation Filter has shown the unprecedented powerful discriminability of non-linear kernels. However, most of state-of-the-art�...
In recent developments [32], sparse representation was successfully introduced to visual tracking using particle filtering. Convolution sparse coding (CSC)�...
Jun 4, 2024 � High-Order Multiple Kernelized Correlation Filter in Tensor for Visual Tracking ... Multi-scale kernel correlation filter for visual tracking.
Correlation filter based trackers are ranked top in terms of performances. Nevertheless, they only employ a single kernel at a time.
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Dec 17, 2018 � In this paper, the problem of visual tracking based on KCF method is studied, and an improved method is proposed. The work flow of the proposed�...
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What are kernelized correlation filters?
The tracker based on correlation filter shows excellent performance in tracking accuracy and running speed. However, the models of correlated filter�...
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Apr 30, 2014 � Based on this simple observation, we propose an analytic model for datasets of thousands of translated patches. By showing that the resulting�...
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"Multi-kernel Correlation Filter for Visual Tracking"; Presented in: ICCV; Major Contribution/s: Introduce multi-kernel to correlation filter based trackers.
It achieves this using (a) the dual space for learning high-dimensional data using the kernels trick and (b) the property of diagonalizing the circulant matrix�...
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Based on this simple observation, we propose an analytic model for datasets of thousands of translated patches. By showing that the resulting data matrix is�...