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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFR8KB
Repositorysid.inpe.br/sibgrapi/2017/08.21.20.57
Last Update2017:08.21.20.57.03 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.21.20.57.03
Metadata Last Update2022:06.14.00.08.56 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.62
Citation KeyQuiritaHappCostFeit:2017:SyTrEn
TitleSymbiotic tracker ensemble with feedback learning
FormatOn-line
Year2017
Access Date2024, Apr. 27
Number of Files1
Size2945 KiB
2. Context
Author1 Quirita, Victor Hugo Ayma
2 Happ, Patrick Nigri
3 Costa, Gilson Alexandre Ostwald Pedro da
4 Feitosa, Raul Queiroz
Affiliation1 ELECTRICAL ENGINEERING DEPARTMENT, PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO
2 ELECTRICAL ENGINEERING DEPARTMENT, PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO
3 INFORMATICS AND COMPUTER SCIENCE DEPARTMENT, STATE UNIVERSITY OF RIO DE JANEIRO
4 ELECTRICAL ENGINEERING DEPARTMENT, PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressvhaymaq@ele.puc-rio.br
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-21 20:57:03 :: vhaymaq@ele.puc-rio.br -> administrator ::
2022-06-14 00:08:56 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsOBJECT TRACKING
TRACKING FUSION
AbstractVisual tracking is a challenging task due to a number of factors, such as occlusions, deformations, illumination variations and abrupt motion changes present in a video sequence. Generally, trackers are robust to some of these factors, but do not achieve satisfactory results when dealing with multiple factors at the same time. More robust results when multiple factors are present can be obtained by combining the results of different trackers. In this paper we propose a multiple tracker fusion method, named Symbiotic Tracker Ensemble with Feedback Learning (SymTE-FL), which combines the results of a set of trackers to produce a unified tracking estimate. The novelty of the method consists in providing feedback to the individual trackers, so that they can correct their own estimates, thus improving overall tracking accuracy. The proposal is validated by experiments conducted upon a publicly available database. The results show that the proposed method delivered in average more accurate tracking estimates than those obtained with individual trackers running independently and with the original approach.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Symbiotic tracker ensemble...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Symbiotic tracker ensemble...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 21/08/2017 17:57 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFR8KB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFR8KB
Languageen
Target File2017_SIBGRAPI_VHAQ.pdf
User Groupvhaymaq@ele.puc-rio.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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