Swimming pool identification from digital sensor imagery using SVM

David Tien*, Tarashankar Rudra, Anthony B. Hope

*Corresponding author for this work

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

6 Citations (Scopus)

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 publicationProceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007
Pages523-527
Number of pages5
DOIs
Publication statusPublished - 2007
EventAustralian Pattern Recognition Society (APRS) - Glenelg, SA, Australia
Duration: 3 Dec 20075 Dec 2007

Other

OtherAustralian Pattern Recognition Society (APRS)
CountryAustralia
CityGlenelg, SA
Period3/12/075/12/07

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