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Sep 19, 2023 · In this work, a confidence template updating spatial-temporal regularized correlation filter frame work is proposed for visual tracking. This ...
Sep 19, 2023 · In this paper, we propose a novel correlation tracking approach with saliency refiner and adaptive updating. To solve the model drift problem, ...
Visual tracking via confidence template updating spatial-temporal ...
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A visual tracking method based on spatial-temporal regularized correlation filter with confidence template updating is developed, in which spatial-temporal ...
As an accurate and robust method for visual object tracking task, discriminative correlation filter (DCF) framework has received significant popularity from ...
Visual tracking via confidence template updating spatial-temporal regularized correlation filters ... Authors: Mengquan Liang; Xuedong Wu; Siming Tang; Zhiyu Zhu ...
Mar 23, 2018 · Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from unwanted boundary effects. Spatially Regularized DCF ( ...
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Jan 6, 2023 · In [42], scholars proposed a novel spatial-channel selection and temporal regularized correlation filter (SCSTCF) model that adds spatial- ...
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In this paper, a new tracker based on the correlation filter framework with scale adaptation for visual target tracking is presented: 1) an effective scale ...
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Visual tracking via confidence template updating spatial-temporal regularized correlation filters. 2023, Multimedia Tools ...
Sep 9, 2021 · The temporal regularization aims to exploit relationship between adjacent samples by passively updating the correlation filters, making the ...