Visual object tracking (VOT) is an important subfield of computer vision. It has widespread
application domains, and has been considered as an important part of surveillance and …

Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …

In vision and learning, low computational complexity and high generalization are two
important goals for video object detection. Low computational complexity here means not …

Significant progress has been made in the field of autonomous driving during the past
decades. However, fully autonomous driving in urban traffic is still extremely difficult in the …

The authors introduce the concept of a spline resampling in the particle filter to deal with
high accuracy and sample impoverishment. The resampling is usually based on a linear …

Wear state is an important indicator of machinery operation condition that reveals whether
faults have developed and maintenance should be scheduled. Among the available …

This paper addresses the problems of tracking targets which undergo rapid and significant
appearance changes. Our starting point is a successful, state-of-the-art tracker based on an …

Turn-taking provides a basis for comparing interactions in different communication
environments, and this paper demonstrates that readily observable features of turns can be …

In this paper, a new collaborative tracking algorithm is put forward to track multiple objects in
video streams. First, we suggest a robust color-based tracker whose model is updated by …

The mean‐shift method is widely used to locate a target object quickly in sequential images.
The mean‐shift algorithm takes advantage of a colour distribution with a uniform …