Object tracking is considered a critical process in most applications of computer vision.
Recently, tracking algorithms that include correlation filter in their frameworks have gained …

Recently, the rich features extracted by deep learning models have been widely used under
the correlation filter tracking framework and achieved great success. However, the features …

In the literature, numerous techniques have proposed to enhance the performance of
tracking the visual objects and each method has its own merits and demerits. For instance …

Correlation filter based tracking methods have aroused increasing attention due to the
appealing performance on tracking benchmark datasets. For each frame, a filter is trained to …

Correlation filtering based tracking model has received significant attention and achieved
great success in terms of both tracking accuracy and computational complexity. However …

Visual tracking is a fundamental vision task that tries to figure out instances of several object
classes from videos and images. It has attracted much attention for providing the basic …

The tracker based on correlation filter shows excellent performance in tracking accuracy and
running speed. However, the models of correlated filter trackers are always updated with …

Although the correlation filter-based trackers have achieved competitive results both on
accuracy and robustness, the performance of trackers can still be improved because the …

Correlation filters (CF) have sparked a lot of interest in visual tracking owing to their
impressive performance. Most of previous correlation filter methods learn a filter from all …

Correlation filter (CF) based tracking algorithms have shown excellent performance in
comparison to most state-of-the-art algorithms on the object tracking benchmark (OTB) …