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Beyond feature integration: a coarse-to-fine framework for cascade correlation tracking

Li, Dongdong; Wen, Gongjian; Kuai, Yangliu; Porikli, Fatih


Discriminative correlation filters (DCF) have achieved enormous popularity in the tracking community. Recently, the performance advancement in DCF-based trackers is predominantly driven by the use of convolutional features. In pursuit of extreme tracking performance, state-of-the-art trackers (e.g., cascade correlation tracking [1] and HCF [2]) equip DCF with hierarchical convolutional features to capture both semantics and spatial details of the target appearance. While such methods have been...[Show more]

CollectionsANU Research Publications
Date published: 2019
Type: Journal article
Source: Machine Vision and Applications
DOI: 10.1007/s00138-019-01009-9


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