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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JKUKML
Repositorysid.inpe.br/sibgrapi/2015/06.08.21.03
Last Update2015:06.08.21.03.37 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/06.08.21.03.37
Metadata Last Update2022:06.14.00.07.59 (UTC) administrator
DOI10.1109/SIBGRAPI.2015.10
Citation KeyPáduaPáduPereSous:2015:PaFiPr
TitleParticle filter-based predictive tracking of futsal players from a single stationary camera
FormatOn-line
Year2015
Access Date2024, May 06
Number of Files1
Size622 KiB
2. Context
Author1 Pádua, Pedro Henrique Caetano de
2 Pádua, Flávio Luis Cardeal
3 Pereira, Marconi de Arruda
4 Sousa, Marco Túlio Diniz
Affiliation1 Centro Federal de Educação Tecnológica de Minas Gerais
2 Centro Federal de Educação Tecnológica de Minas Gerais
3 Universidade Federal de São João del-Rei
4 Centro Federal de Educação Tecnológica de Minas Gerais
EditorPapa, João Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addresspedhenrique@decom.cefetmg.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-08 21:03:37 :: pedhenrique@decom.cefetmg.br -> administrator ::
2022-06-14 00:07:59 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsplayer tracking
particle filter
futsal
tactical and physical analyses
AbstractIn this paper we study the use of computer vision techniques for visual tracking of futsal players. In the sports field, player tracking is an important task, as it can provide an estimate of the position of the athlete in a given time and thus compute his/her trajectories. This information can be used by coaches and sport professionals on tactical and physical analyses. We use adaptive background subtraction and blob analysis to detect players, as well as particle filters to predict their positions and track them using data from a single stationary camera. Experimental results show that our approach is capable to track players and compute their trajectories over time with errors below 20 cm, thus demonstrating a high potential to be used in a wide range of futsal match analyses.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Particle filter-based predictive...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Particle filter-based predictive...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JKUKML
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JKUKML
Languageen
Target FilePID3755085.pdf
User Grouppedhenrique@decom.cefetmg.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 8
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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