Swimming Pool Identification from Digital Sensor Imagery using SVM

David Tien, Tarashankar Rudra, Anthony Brian Hope

Research output: Book chapter/Published conference paperConference paperpeer-review

6 Citations (Scopus)
28 Downloads (Pure)

Abstract

Australia is a country often marred by serious bushfires. In January 2003 it witnessed a significant natural disaster when Canberra was struck by firestorms. The Ash Wednesday fires in Victoria resulted in 75 deaths twenty years earlier. Events like these have made environmental and emergency management research a focus in Australia. In this paper, we introduce a Support Vector Machine (SVM) technique to classify small area water bodies, swimming pools in particular. These features provide a valuable source of water for Emergency Services and play a crucial role in fighting bushfires in urban areas of Australia.
Original languageEnglish
Title of host publicationDICTA 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications
EditorsMurk Bottema
Place of PublicationCalifornia, USA
PublisherIEEE
Pages523-527
Number of pages5
ISBN (Electronic)0769530672
Publication statusPublished - 2007
EventIEEE Digital Image Computing Techniques and Applications (DICTA) Biennial Conference - Adelaide, SA Australia, Australia
Duration: 03 Dec 200705 Dec 2007

Conference

ConferenceIEEE Digital Image Computing Techniques and Applications (DICTA) Biennial Conference
Country/TerritoryAustralia
Period03/12/0705/12/07

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