Although appearance-based trackers have been greatly improved in the last decade, they
still struggle with challenges that are not fully resolved. Of these challenges, occlusions …

Robotic agents should be able to learn from sub-symbolic sensor data and, at the same
time, be able to reason about objects and communicate with humans on a symbolic level …

The continuous advances in the state-of-the-art in the Virtual, Augmented, and Mixed Reality
(V AMR) technology are important in many application spaces, including gaming …

Visual small target motion detection finds successful applications in varied scenarios.
However, dim-light conditions, such as the tunnel scenes and nighttime environments …

How to work effectively under occlusion-rich environments remains a challenge for airborne
vision-based ground target tracking, due to the natural limitation of monocular vision. Given …

Two motion models are proposed to enhance the performance of video object tracking
(VOT) algorithms. The first one is a random walk model that captures the randomness of …

Object detection is an important research area in video surveillance systems, aimed at
identifying and locating target objects within recorded scenes. Various object detectors fail …

Vision-assisted technologies in industrial manual operation such as augmented reality (AR)
are increasingly popular. They require high positioning accuracy and robustness to operate …

This introduces a method which uses LIDAR to identify humans and track their positions,
body orientation, and movement trajectories in any public space to read their various types …

Occlusion, one of the biggest challenges of visual tracking, impedes many trackers by
corrupting observations, decaying the template accuracy, or introducing distracting …