Robust Visual Tracking With Spatial Regularization Kernelized Correlation Filter Constrained by a Learning Spatial Reliability Map

As a basic research topic in computer vision, visual tracking is still challenging because of the complexity of the tracking problems, such as abrupt motion, out-of-view, deformation, and heavy occlusion. In this paper, we extend the kernelized correlation filter (CF) for robust tracking by introduc...

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Bibliographic Details
Main Authors: Qianbo Liu, Guoqing Hu, Md Mojahidul Islam
Format: Article
Published: IEEE 2019-01-01
Series:IEEE Access
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