With a good balance between tracking accuracy and speed, correlation filter (CF) has
become one of the best object tracking frameworks, based on which many successful …

Visual object tracking is a very important task in computer vision. This paper develops a
method based on the convolutional neural network (CNN) and correlation filters for visual …

Online updating of the object model via samples from historical frames is of great importance
for accurate visual object tracking. Recent works mainly focus on constructing effective and …

Spatially-regularized correlation filters have achieved great successes in visual object
tracking, with excellent tracking accuracy and robustness to various interferences …

Siamese network is widely used in object tracking. However, it suffers the problem of poor
generalization. The existing tracker based on template update mechanism uses complex …

Visual object tracking (VOT) is one of the most widely studied computer vision approaches
that can produce the trajectory of a moving object from a sequence of frames. VOT has many …