Correlation filters for unmanned aerial vehicle-based aerial tracking: A review and experimental evaluation

C Fu, B Li, F Ding, F Lin, G Lu - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Aerial tracking, which has received widespread attention and exhibited excellent
performance, is one of the most active applications in the remote sensing field. In particular …

Forty years of multiple hypothesis tracking-a review of key developments

CY Chong, S Mori, DB Reid - 2018 21st International …, 2018 - ieeexplore.ieee.org
Multiple hypothesis tracking addresses difficult multiple target tracking problems by making
association decisions using multiple scans or frames of data. This paper reviews forty years …

SiamHYPER: Learning a hyperspectral object tracker from an RGB-based tracker

Z Liu, X Wang, Y Zhong, M Shu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Hyperspectral videos can provide the spatial, spectral, and motion information of targets,
which makes it possible to track camouflaged targets that are similar to the background …

Material based object tracking in hyperspectral videos

F **ong, J Zhou, Y Qian - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Traditional color images only depict color intensities in red, green and blue channels, often
making object trackers fail in challenging scenarios, eg, background clutter and rapid …

Tracking in aerial hyperspectral videos using deep kernelized correlation filters

B Uzkent, A Rangnekar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Hyperspectral imaging holds enormous potential to improve the state of the art in aerial
vehicle tracking with low spatial and temporal resolutions. Recently, adaptive multimodal …

Aerial vehicle tracking by adaptive fusion of hyperspectral likelihood maps

B Uzkent, A Rangnekar… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Hyperspectral cameras provide unique spectral signatures that can be used to solve
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …

Learning when and where to zoom with deep reinforcement learning

B Uzkent, S Ermon - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
While high resolution images contain semantically more useful information than their lower
resolution counterparts, processing them is computationally more expensive, and in some …

A Deep Temporal-Spectral-Spatial Anchor-Free Siamese Tracking Network for Hyperspectral Video Object Tracking

Z Liu, Y Zhong, G Ma, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
High spatial, high spectral, and high temporal () information of the objects of interest can be
provided by hyperspectral video, which makes it possible to track objects in complex …

[LLIBRE][B] Handbook of Dynamic Data Driven Applications Systems

F Darema, E Blasch, S Ravela, AJ Aved - 2023 - Springer
All rights are solely and exclusively licensed by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of …

Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction

J Li, H Li, Y Liu, M Gong - Applied Soft Computing, 2021 - Elsevier
Endmember extraction plays an indispensable role in hyperspectral image processing,
which is also an important step to decompose the mixed pixels in spectral unmixing. Most of …