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		<citationkey>PraSilvSant:2015:CoVeSo</citationkey>
		<title>Contagem de veículos sob iluminação natural e fluxo contínuo utilizando visão computacional - Um estudo de caso em Joinville - SC</title>
		<format>On-line</format>
		<year>2015</year>
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		<author>Pra, Gilian Moacir Dal,</author>
		<author>Silva, Alexandre Gonçalves,</author>
		<author>Santos, Gilmário Barbosa dos,</author>
		<affiliation>Bacharel em Ciência da Computação</affiliation>
		<affiliation>Departamento de Informática e Estátistica - INE - UFSC</affiliation>
		<affiliation>Departamento de Ciência da Computação - CCT - UDESC</affiliation>
		<editor>Vieira, Thales Miranda de Almeida,</editor>
		<editor>Mello, Vinicius Moreira,</editor>
		<e-mailaddress>gilmariobs@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador, BA, Brazil</conferencelocation>
		<date>26-29 Aug. 2015</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Undergraduate Work</tertiarytype>
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		<keywords>Image analysis, Vehicle counting.</keywords>
		<abstract>This article presents the initial prototype of a computer vision system, tested in the city of Joinville-SC, focused on vehicle counting for traffic management in the process under natural lighting and without severe cloudiness. Tests were conducted on a busy road in the city and the results were promising.</abstract>
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