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		<identifier>8JMKD3MGPAW/3M8QR3E</identifier>
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		<citationkey>PenhaSilvOliv:2016:ViAnMo</citationkey>
		<title>Visual Analysis of Morphological Features of Live Cattle From RGB-D-T Data</title>
		<format>On-line</format>
		<year>2016</year>
		<numberoffiles>1</numberoffiles>
		<size>4439 KiB</size>
		<author>Penha, João Paulo Gomes,</author>
		<author>Silva, Pablo Ricardo Roxo,</author>
		<author>Oliveira, Luciano Rebouças de,</author>
		<editor>Aliaga, Daniel G.,</editor>
		<editor>Davis, Larry S.,</editor>
		<editor>Farias, Ricardo C.,</editor>
		<editor>Fernandes, Leandro A. F.,</editor>
		<editor>Gibson, Stuart J.,</editor>
		<editor>Giraldi, Gilson A.,</editor>
		<editor>Gois, João Paulo,</editor>
		<editor>Maciel, Anderson,</editor>
		<editor>Menotti, David,</editor>
		<editor>Miranda, Paulo A. V.,</editor>
		<editor>Musse, Soraia,</editor>
		<editor>Namikawa, Laercio,</editor>
		<editor>Pamplona, Mauricio,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Santos, Jefersson dos,</editor>
		<editor>Schwartz, William Robson,</editor>
		<editor>Thomaz, Carlos E.,</editor>
		<e-mailaddress>joao.penha@ufba.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)</conferencename>
		<conferencelocation>São José dos Campos, SP, Brazil</conferencelocation>
		<date>4-7 Oct. 2016</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Work in Progress</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>Live Cattle, Visual Analysis, RGB-D-T Data.</keywords>
		<abstract>Based on the analyses performed by experts, models have been created to assessing body condition of livestock. The goal is to identify parameters of quality that are perceived from identified visual features. Although human visual assessment is still the main way used to analyze morphological structures of livestock, it needs improvements in accuracy, agility and automation. Our work proposes the development of an automated system for automatic visual analysis of morphological features of live cattle by means of a fusion of RGB-D and thermal cameras. The goal is to rank the animals from their visual features in a qualitative and quantitative way. Since morphological features are associated with genetic improvement methods, the proposed system aims at recommending a balanced bio-type -- suitable for breeding, abate and commercialization. The ultimate goal is to improve cattle productivity. This paper contextualizes the problem, proposing a generic framework for the automatic system.</abstract>
		<language>en</language>
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		<usergroup>joao.penha@ufba.br</usergroup>
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