Thermal Infrared Target Tracking: A Comprehensive Review

Yuan, D; Zhang, H; Shu, X; Liu, Q; Chang, X; He, Z; Shi, G

Thermal Infrared Target Tracking: A Comprehensive Review

Yuan, D Zhang, H Shu, X Liu, Q Chang, X

He, Z Shi, G

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Instrumentation and Measurement, 2024, 73, pp. 1-19
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Yuan, D
dc.contributor.author	Zhang, H
dc.contributor.author	Shu, X
dc.contributor.author	Liu, Q
dc.contributor.author	Chang, X https://orcid.org/0000-0002-7778-8807
dc.contributor.author	He, Z
dc.contributor.author	Shi, G
dc.date.accessioned	2024-08-07T04:31:22Z
dc.date.available	2024-08-07T04:31:22Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Instrumentation and Measurement, 2024, 73, pp. 1-19
dc.identifier.issn	0018-9456
dc.identifier.issn	1557-9662
dc.identifier.uri	http://hdl.handle.net/10453/180198
dc.description.abstract	— Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in auxiliary driving, unmanned aerial vehicle reconnaissance, video surveillance, and other scenes. However, the TIR target tracking task also presents some challenges, such as intensity change, occlusion, deformation, similarity interference, and so on. These challenges significantly affect the performance of the TIR target tracking methods. To resolve these challenges in the TIR target tracking scenarios, numerous tracking methods have appeared in recent years. The purpose of this article is to give a comprehensive review and summary of the research status of the TIR target tracking methods. We first classify the TIR target tracking methods according to their frameworks and briefly summarize the advantages and disadvantages of different tracking methods, which can better understand the current research progress of the TIR target tracking methods. Next, the public datasets/benchmarks for performance testing of the TIR target tracking methods are introduced. Subsequently, we demonstrate the tracking results of several representative tracking methods on some datasets/benchmarks to more intuitively show the progress of the TIR target tracking methods made in the current research. Finally, we discussed the future research direction in an attempt to promote the better development of the TIR target-tracking tasks.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation	http://purl.org/au-research/grants/arc/DE190100626
dc.relation.ispartof	IEEE Transactions on Instrumentation and Measurement
dc.relation.isbasedon	10.1109/TIM.2023.3338701
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0299 Other Physical Sciences, 0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	Thermal Infrared Target Tracking: A Comprehensive Review
dc.type	Journal Article
utslib.citation.volume	73
utslib.for	0299 Other Physical Sciences
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	closed_access	*
dc.date.updated	2024-08-07T04:31:19Z
pubs.publication-status	Published
pubs.volume	73

Abstract:

— Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in auxiliary driving, unmanned aerial vehicle reconnaissance, video surveillance, and other scenes. However, the TIR target tracking task also presents some challenges, such as intensity change, occlusion, deformation, similarity interference, and so on. These challenges significantly affect the performance of the TIR target tracking methods. To resolve these challenges in the TIR target tracking scenarios, numerous tracking methods have appeared in recent years. The purpose of this article is to give a comprehensive review and summary of the research status of the TIR target tracking methods. We first classify the TIR target tracking methods according to their frameworks and briefly summarize the advantages and disadvantages of different tracking methods, which can better understand the current research progress of the TIR target tracking methods. Next, the public datasets/benchmarks for performance testing of the TIR target tracking methods are introduced. Subsequently, we demonstrate the tracking results of several representative tracking methods on some datasets/benchmarks to more intuitively show the progress of the TIR target tracking methods made in the current research. Finally, we discussed the future research direction in an attempt to promote the better development of the TIR target-tracking tasks.

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http://hdl.handle.net/10453/180198