Robustness and efficiency are the two main goals of existing trackers. Most robust trackers
are implemented with combined features or models accompanied with a high computational …

Correlation filters for long-term visual object tracking have recently seen great interest.
Although they present competitive performance results, there is still a need for improving …

Matching-based algorithms have been commonly used in planar object tracking. They often
model a planar object as a set of keypoints, and then find correspondences between …

In this paper, we propose a novel matching based tracker by investigating the relationship
between template matching and the recent popular correlation filter based trackers (CFTs) …

Purpose Computer-assisted interventions for enhanced minimally invasive surgery (MIS)
require tracking of the surgical instruments. Instrument tracking is a challenging problem in …

In this paper, we demonstrate a novel algorithm that uses ellipse fitting to estimate the
bounding box rotation angle and size with the segmentation (mask) on the target for online …

With recent advances in biophotonics, techniques such as narrow band imaging, confocal
laser endomicroscopy, fluorescence spectroscopy, and optical coherence tomography, can …

Graph-based representation is widely used in visual tracking field by finding correct
correspondences between target parts in different frames. However, most graph-based …

Dynamic obstacle detection is important for environmental perception in self-driving cars.
Instance segmentation using a camera is a major trend in obstacle detection. However …

Motivated by the need to improve the quality of life for the elderly and disabled individuals
who rely on wheelchairs for mobility, and who may have limited or no hand functionality at …