Improving infrared vehicle detection with polarisation

Christopher Dickson; Andrew Michael Wallace; Matthew Kitchin; Barry Connor

doi:10.1049/cp.2013.2043

Improving infrared vehicle detection with polarisation

Christopher Dickson, Andrew Michael Wallace, Matthew Kitchin, Barry Connor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

Vehicle detection in infrared imagery can be a difficult task due to the presence of clutter and weak target sig-natures. However, the infrared polarimetric signature of vehicles can be strong and distinctive. Descriptors based on infrared polarimetric imagery are shown to provide im-proved vehicle detection performance above those based on infrared intensity alone. A new polarimetric histogram descriptor, built from the degree and angle of polarisation of a vehicle, is proposed.

Original language	English
Title of host publication	Proceedings of the IET Intelligent Signal Processing Conference 2013
Place of Publication	London
DOIs	https://doi.org/10.1049/cp.2013.2043
Publication status	Published - Dec 2013
Event	IET Intelligent Signal Processing Conference 2013 - London, United Kingdom Duration: 2 Dec 2013 → 3 Dec 2013

Conference

Conference	IET Intelligent Signal Processing Conference 2013
Abbreviated title	ISP 2013
Country/Territory	United Kingdom
City	London
Period	2/12/13 → 3/12/13

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10.1049/cp.2013.2043

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@inproceedings{2e1daf3578d747b4ba896881e76a1498,

title = "Improving infrared vehicle detection with polarisation",

abstract = "Vehicle detection in infrared imagery can be a difficult task due to the presence of clutter and weak target sig-natures. However, the infrared polarimetric signature of vehicles can be strong and distinctive. Descriptors based on infrared polarimetric imagery are shown to provide im-proved vehicle detection performance above those based on infrared intensity alone. A new polarimetric histogram descriptor, built from the degree and angle of polarisation of a vehicle, is proposed.",

author = "Christopher Dickson and Wallace, {Andrew Michael} and Matthew Kitchin and Barry Connor",

year = "2013",

month = dec,

doi = "10.1049/cp.2013.2043",

language = "English",

isbn = "978-1-84919-774-8",

booktitle = "Proceedings of the IET Intelligent Signal Processing Conference 2013",

note = "IET Intelligent Signal Processing Conference 2013, ISP 2013 ; Conference date: 02-12-2013 Through 03-12-2013",

}

TY - GEN

T1 - Improving infrared vehicle detection with polarisation

AU - Dickson, Christopher

AU - Wallace, Andrew Michael

AU - Kitchin, Matthew

AU - Connor, Barry

PY - 2013/12

Y1 - 2013/12

N2 - Vehicle detection in infrared imagery can be a difficult task due to the presence of clutter and weak target sig-natures. However, the infrared polarimetric signature of vehicles can be strong and distinctive. Descriptors based on infrared polarimetric imagery are shown to provide im-proved vehicle detection performance above those based on infrared intensity alone. A new polarimetric histogram descriptor, built from the degree and angle of polarisation of a vehicle, is proposed.

AB - Vehicle detection in infrared imagery can be a difficult task due to the presence of clutter and weak target sig-natures. However, the infrared polarimetric signature of vehicles can be strong and distinctive. Descriptors based on infrared polarimetric imagery are shown to provide im-proved vehicle detection performance above those based on infrared intensity alone. A new polarimetric histogram descriptor, built from the degree and angle of polarisation of a vehicle, is proposed.

U2 - 10.1049/cp.2013.2043

DO - 10.1049/cp.2013.2043

M3 - Conference contribution

SN - 978-1-84919-774-8

BT - Proceedings of the IET Intelligent Signal Processing Conference 2013

CY - London

T2 - IET Intelligent Signal Processing Conference 2013

Y2 - 2 December 2013 through 3 December 2013

ER -

Improving infrared vehicle detection with polarisation

Abstract

Conference

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