Beyond feature integration: a coarse-to-fine framework for cascade correlation tracking
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  and HCF ) equip DCF with hierarchical convolutional features to capture both semantics and spatial details of the target appearance. While such methods have been...[Show more]
|Collections||ANU Research Publications|
|Source:||Machine Vision and Applications|
|01_Li_Beyond_feature_integration%3A_a_2019.pdf||2.12 MB||Adobe PDF||Request a copy|
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