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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/387DST2
Repositorysid.inpe.br/sibgrapi/2010/09.04.22.57
Last Update2010:09.04.22.57.52 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/09.04.22.57.53
Metadata Last Update2022:06.14.00.06.57 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.58
Citation KeySimasFicNovBemBot:2010:3DMoTr
Title3D motion tracking based on probabilistic volumetric reconstruction and optical flow
FormatPrinted, On-line.
Year2010
Access Date2024, Apr. 28
Number of Files1
Size352 KiB
2. Context
Author1 Simas, Gisele Moraes
2 Fickel, Guilherme Pinto
3 Novelo, Lucas
4 Bem, Rodrigo Andrade de
5 Botelho, Silvia Silva da Costa
Affiliation1 Federal University of Rio Grande - FURG
2 Federal University of Rio Grande - FURG
3 Federal University of Rio Grande - FURG
4 Federal University of Rio Grande - FURG
5 Federal University of Rio Grande - FURG
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressgisele_simas@yahoo.com.br
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:38 :: gisele_simas@yahoo.com.br -> administrator :: 2010
2022-06-14 00:06:57 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsprobabilistic volumetric reconstruction
optical flow
motion tracking
AbstractThis paper proposes a method for motion tracking of objects without a pre-defined shape, the main aspect of this method is the use of a probabilistic volumetric reconstruction that incorporates motion information. First, a volumetric reconstruction of the objects of interest is obtained by the 3D Probabilistic Occupancy Grid method, which was recently proposed for to be applied in environments sensed by multiple cameras. Then, we originally propose to add Optical Flow information to this reconstruction. Next, a method similar to the Expectation-Maximization (EM) algorithm is used to identify and track the body parts of objects of interest. It was noted that the proposed information of velocity vector fields are a good option to improve the perception of motion in 3D reconstruction, providing the best results in the tracking.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > 3D motion tracking...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > 3D motion tracking...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/387DST2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/387DST2
Languageen
Target File70652_2.pdf
User Groupgisele_simas@yahoo.com.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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