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Correlation filters for unmanned aerial vehicle-based aerial tracking: A review and experimental evaluation
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 …
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 …
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
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 …
which makes it possible to track camouflaged targets that are similar to the background …
Material based object tracking in hyperspectral videos
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 …
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 …
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 …
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …
Learning when and where to zoom with deep reinforcement learning
While high resolution images contain semantically more useful information than their lower
resolution counterparts, processing them is computationally more expensive, and in some …
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 …
provided by hyperspectral video, which makes it possible to track objects in complex …
[LLIBRE][B] Handbook of Dynamic Data Driven Applications Systems
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 …
the material is concerned, specifically the rights of translation, reprinting, reuse of …
Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction
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 …
which is also an important step to decompose the mixed pixels in spectral unmixing. Most of …