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		<issn>2179-4820</issn>
		<citationkey>FontesAlenRensBogo:2013:DiTrOu</citationkey>
		<title>Discovering trajectory outliers between regions of interest</title>
		<format>On-line, CD-ROM.</format>
		<year>2013</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Fontes, Vitor Cunha,</author>
		<author>Alencar, Lucas Andre de,</author>
		<author>Renso, Chiara,</author>
		<author>Bogorny, Vania,</author>
		<affiliation>Universidade Federal de Santa Catarina (UFSC)</affiliation>
		<affiliation>Universidade Federal de Santa Catarina (UFSC)</affiliation>
		<affiliation>University of Pisa</affiliation>
		<affiliation>Universidade Federal de Santa Catarina (UFSC)</affiliation>
		<editor>Andrade, Pedro Ribeiro,</editor>
		<editor>Santanchè, André,</editor>
		<e-mailaddress>seki@dsr.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 14 (GEOINFO).</conferencename>
		<conferencelocation>Campos do Jordão</conferencelocation>
		<date>24-27 nov. 2013</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>12</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Full papers</tertiarytype>
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		<abstract>Different algorithms have been proposed in the last few years for discovering different types of behaviors in trajectory data. Existing approaches, in general, deal only with the outliers, and do not consider the standards routes and regions of interest. In this paper we propose a new algorithm for trajectory outlier detection between regions of interest. We show with two experiments on real data that the method correctly finds outlier patterns.</abstract>
		<area>SRE</area>
		<language>en</language>
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		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m18/2013/12.11.12.07</url>
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