[HTML][HTML] Multi-camera multi-object tracking: A review of current trends and future advances

TI Amosa, P Sebastian, LI Izhar, O Ibrahim, LS Ayinla… - Neurocomputing, 2023 - Elsevier
The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations

R Opromolla, G Fasano, G Rufino, M Grassi - Progress in Aerospace …, 2017 - Elsevier
The capability of an active spacecraft to accurately estimate its relative position and attitude
(pose) with respect to an active/inactive, artificial/natural space object (target) orbiting in …

La-and Mn-doped cobalt spinel oxygen evolution catalyst for proton exchange membrane electrolysis

L Chong, G Gao, J Wen, H Li, H Xu, Z Green, JD Sugar… - Science, 2023 - science.org
Discovery of earth-abundant electrocatalysts to replace iridium for the oxygen evolution
reaction (OER) in a proton exchange membrane water electrolyzer (PEMWE) represents a …

Visual object tracking: A survey

F Chen, X Wang, Y Zhao, S Lv, X Niu - Computer Vision and Image …, 2022 - Elsevier
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 …

Siamese instance search for tracking

R Tao, E Gavves… - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
In this paper we present a tracker, which is radically different from state-of-the-art trackers:
we apply no model updating, no occlusion detection, no combination of trackers, no …

Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking

T Xu, ZH Feng, XJ Wu, J Kittler - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
With efficient appearance learning models, discriminative correlation filter (DCF) has been
proven to be very successful in recent video object tracking benchmarks and competitions …

Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography

J Harms, Y Lei, T Wang, R Zhang, J Zhou… - Medical …, 2019 - Wiley Online Library
Purpose The incorporation of cone‐beam computed tomography (CBCT) has allowed for
enhanced image‐guided radiation therapy. While CBCT allows for daily 3D imaging, images …

The visual object tracking vot2015 challenge results

M Kristan, J Matas, A Leonardis… - Proceedings of the …, 2015 - cv-foundation.org
Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

A novel performance evaluation methodology for single-target trackers

M Kristan, J Matas, A Leonardis, T Vojíř… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper addresses the problem of single-target tracker performance evaluation. We
consider the performance measures, the dataset and the evaluation system to be the most …

Visual tracking: An experimental survey

AWM Smeulders, DM Chu, R Cucchiara… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
There is a large variety of trackers, which have been proposed in the literature during the
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …