Robust object tracking is a challenging task in multimedia understanding and computer
vision. The traditional tracking algorithms only use the forward tracking information while …

Object tracking with robust scale estimation is a challenging task in computer vision. This
paper presents a novel tracking algorithm that learns the translation and scale filters with a …

Traditional tracking algorithms based on correlation filtering usually use a filter based on
Gaussian-like distribution to highlight the information of the target and weaken the …

Pre-trained CNNs on ImageNet have been widely used in object tracking for feature
extraction. However, due to the domain mismatch between image classification and object …

Visual object tracking is a challenging task when the object appearance changes caused by
the scale variation and the occlusion. In this paper, an object tracking algorithm is proposed …

Discriminative correlation filter-based algorithms have recently demonstrated prominent
advantages in the community of computer visual tracking, due to their ability to convert ridge …

Visual object tracking is always a challenging task in computer vision. During the tracking,
the shape and appearance of the target may change greatly, and because of the lack of …

This paper presents an adaptive tracking algorithm by learning hybrid object templates
online in video. The templates consist of multiple types of features, each of which describes …

Visual tracking is a popular research area in computer vision, which is very difficult to
actualize because of challenges such as changes in scale and illumination, rotation, fast …

Most of the tracking methods attempt to build up feature spaces to represent the appearance
of a target. However, limited by the complex structure of the distribution of features, the …