Improving infrared vehicle detection with polarisation

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

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

8 Citations (Scopus)


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
Publication statusPublished - Dec 2013
EventIET Intelligent Signal Processing Conference 2013 - London, United Kingdom
Duration: 2 Dec 20133 Dec 2013


ConferenceIET Intelligent Signal Processing Conference 2013
Abbreviated titleISP 2013
CountryUnited Kingdom

Fingerprint Dive into the research topics of 'Improving infrared vehicle detection with polarisation'. Together they form a unique fingerprint.

Cite this