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		<citationkey>MoreiraFeijLopeFeit:2013:ReObTr</citationkey>
		<author>Moreira, Gustavo,</author>
		<author>Feijó, Bruno,</author>
		<author>Lopes, Hélio,</author>
		<author>Feitosa, Raul,</author>
		<affiliation>PUC-Rio - Departamento de Informática</affiliation>
		<affiliation>PUC-Rio - Departamento de Informática</affiliation>
		<affiliation>PUC-Rio - Departamento de Informática</affiliation>
		<affiliation>PUC-Rio - Departamento de Engenharia Elétrica</affiliation>
		<title>Real-time Object Tracking in High-Definition Video Using Frame Segmentation and Background Integral Images</title>
		<conferencename>Conference on Graphics, Patterns and Images, 26 (SIBGRAPI)</conferencename>
		<year>2013</year>
		<editor>Boyer, Kim,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Nedel, Luciana,</editor>
		<editor>Silva, Claudio,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Aug. 5-8, 2013</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Arequipa, Peru</conferencelocation>
		<keywords>object tracking, real-time tracking, HD videos.</keywords>
		<abstract>Object tracking in video sequences is still a challenging issue in real-time video processing. In this paper we propose an integrated detection and tracking method suitable for high-definition videos at real-time frame rates. In this method we implement a frame segmentation procedure using integral images of the background, which permits to discard the analysis of several image parts of each frame and achieve high frame rates. Also we extend the proposed algorithm to detect multiple objects in parallel.</abstract>
		<language>en</language>
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		<targetfile>TrackingSIB11072013.pdf</targetfile>
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		<e-mailaddress>lopes@inf.puc-rio.br</e-mailaddress>
		<usergroup>lopes@inf.puc-rio.br</usergroup>
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