Unifying Temporal Context and Multi-Feature With Update-Pacing Framework for Visual Tracking
IEEE Transactions on Circuits and Systems for Video Technology, pp. 1078-1091, 2020.
Model drifting is one of the knotty problems that seriously restricts the accuracy of discriminative trackers in visual tracking. Most existing works usually focus on improving the robustness of the target appearance model. However, they are prone to suffer from model drifting due to the inappropriate model updates during the tracking-by-...More
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