Improving infrared vehicle detection with polarisation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 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 languageEnglish
Title of host publicationProceedings of the IET Intelligent Signal Processing Conference 2013
Place of PublicationLondon
DOIs
Publication statusPublished - Dec 2013
EventIET Intelligent Signal Processing Conference 2013 - London, United Kingdom
Duration: 2 Dec 20133 Dec 2013

Conference

ConferenceIET Intelligent Signal Processing Conference 2013
Abbreviated titleISP 2013
CountryUnited Kingdom
CityLondon
Period2/12/133/12/13

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    Dickson, C., Wallace, A. M., Kitchin, M., & Connor, B. (2013). Improving infrared vehicle detection with polarisation. In Proceedings of the IET Intelligent Signal Processing Conference 2013 https://doi.org/10.1049/cp.2013.2043