In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …

Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing
interests in the field of visual object tracking, and have achieved extremely compelling …

Visual object tracking is an important area in computer vision, and many tracking algorithms
have been proposed with promising results. Existing object tracking approaches can be …

During the recent years, correlation filters have shown dominant and spectacular results for
visual object tracking. The types of the features that are employed in this family of trackers …

Correlation filters based trackers rely on a periodic assumption of the search sample to
efficiently distinguish the target from the background. This assumption however yields …

Discriminative correlation filters (DCFs) have been widely used in the tracking community
recently. DCFs-based trackers utilize samples generated by circularly shifting from an image …

Discriminant Correlation Filters (DCF) based methods now become a kind of dominant
approach to online object tracking. The features used in these methods, however, are either …

In recent years, attention mechanisms have been widely studied in Discriminative
Correlation Filter (DCF) based visual object tracking. To realise spatial attention and …

Correlation filter trackers building on deep convolution neural networks (CNNs) contribute
efficient visual object trackers but remain challenged with severe target appearance …

Despite the numerous developments in object tracking, further development of current
tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, data …