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Found 3 papers, 0 papers with code
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning
By exploiting the anisotropy of the filter response, three sparsity related loss functions are proposed to alleviate the overfitting issue of previous methods and improve the overall tracking performance.
Tracking Completion
A fundamental component of modern trackers is an online learned tracking model, which is typically modeled either globally or locally.
Discriminative Low-Rank Tracking
Good tracking performance is in general attributed to accurate representation over previously obtained targets or reliable discrimination between the target and the surrounding background.
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