<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>8JMKD3MGPAW/3PFRN5P</identifier>
		<repository>sid.inpe.br/sibgrapi/2017/08.21.23.41</repository>
		<lastupdate>2017:08.21.23.41.10 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi/2017/08.21.23.41.10</metadatarepository>
		<metadatalastupdate>2022:06.14.00.09.01 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2017}</metadatalastupdate>
		<doi>10.1109/SIBGRAPI.2017.51</doi>
		<citationkey>SennaDrumBast:2017:ReEnTr</citationkey>
		<title>Real-time ensemble-based tracker with Kalman filter</title>
		<format>On-line</format>
		<year>2017</year>
		<numberoffiles>1</numberoffiles>
		<size>207 KiB</size>
		<author>Senna, Pedro,</author>
		<author>Drummond, Isabela Neves,</author>
		<author>Bastos, Guilherme Sousa,</author>
		<affiliation>Universidade Federal de Itajubá</affiliation>
		<affiliation>Universidade Federal de Itajubá</affiliation>
		<affiliation>Universidade Federal de Itajubá</affiliation>
		<editor>Torchelsen, Rafael Piccin,</editor>
		<editor>Nascimento, Erickson Rangel do,</editor>
		<editor>Panozzo, Daniele,</editor>
		<editor>Liu, Zicheng,</editor>
		<editor>Farias, Mylčne,</editor>
		<editor>Viera, Thales,</editor>
		<editor>Sacht, Leonardo,</editor>
		<editor>Ferreira, Nivan,</editor>
		<editor>Comba, Joăo Luiz Dihl,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Schiavon Porto, Marcelo,</editor>
		<editor>Vital, Creto,</editor>
		<editor>Pagot, Christian Azambuja,</editor>
		<editor>Petronetto, Fabiano,</editor>
		<editor>Clua, Esteban,</editor>
		<editor>Cardeal, Flávio,</editor>
		<conferencename>Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)</conferencename>
		<conferencelocation>Niterói, RJ, Brazil</conferencelocation>
		<date>17-20 Oct. 2017</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Universidade Federal de Itajubá.</keywords>
		<abstract>This work presents an ensemble-based visual object tracker called KFebT. This method can fuse using a Kalman Filter the result of several out-of-the box trackers or specialist methods that solve parts of the problem, like methods that only estimate the target scale variation. Our purpose in joining multiple trackers is to take advantage of the different strengths and weaknesses of each approach. The proposed fusion method is simple and needs no training; it just needs the tracker output result and a confidence measure for the result of each tracker. We performed tests on the Visual Object Tracking Challenge (VOT) 2015 dataset and evaluated our tracker in terms of expected overlap, accuracy and robustness. We test our proposed method on combination of two and three tracking algorithms and the results demonstrate clear improvements over the trackers used in its composition.</abstract>
		<language>en</language>
		<targetfile>PID4960379.pdf</targetfile>
		<usergroup>pedrosennapsc#gmail.com</usergroup>
		<visibility>shown</visibility>
		<documentstage>not transferred</documentstage>
		<mirrorrepository>sid.inpe.br/banon/2001/03.30.15.38.24</mirrorrepository>
		<nexthigherunit>8JMKD3MGPAW/3PKCC58</nexthigherunit>
		<nexthigherunit>8JMKD3MGPEW34M/4742MCS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2017/09.12.13.04 5</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<agreement>agreement.html .htaccess .htaccess2</agreement>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2017/08.21.23.41</url>
	</metadata>
</metadatalist>