Recently, the concept of human-robot collaboration has raised many research interests.
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …

Recently, computer vision and multimedia understanding become important research
domains in computer science. Meanwhile, visual tracking of moving target, one of most …

Accurate scale estimation of a target is a challenging research problem in visual object
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …

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 …

Aiming at the existing problems that object tracking algorithm fails to track under the
influence of occlusion conditions, the paper has improved the Kernel Correlation Filter …

Robust and accurate visual tracking is one of the most challenging computer vision
problems. Due to the inherent lack of training data, a robust approach for constructing a …

Visual object tracking is a challenging computer vision problem with numerous real-world
applications. This pa-per investigates the impact of convolutional features for the visual …

Although the correlation filter-based trackers achieve the competitive results both on
accuracy and robustness, there is still a need to improve the overall tracking capability. In …

Robust scale estimation is a challenging problem in visual object tracking. Most existing
methods fail to handle large scale variations in complex image sequences. This paper …

While color information is known to provide rich discriminative clues for visual inference,
most modern visual trackers limit themselves to the grayscale realm. Despite recent efforts to …