Semi-automatic object tracking in video sequences
Resumen:
In this paper we present a method for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modeling the a posteriori probabilities of a set of features such as: color, position and motion, depth, etc.
| 2005 | |
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Segmentación de video PROCESAMIENTO de SEÑALES |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/21186 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| _version_ | 1807522893555302400 |
|---|---|
| author | Lecumberry, Federico |
| author2 | Pardo, Alvaro |
| author2_role | author |
| author_facet | Lecumberry, Federico Pardo, Alvaro |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Lecumberry, Federico Pardo, Alvaro |
| dc.date.accessioned.none.fl_str_mv | 2019-07-03T16:35:55Z |
| dc.date.available.none.fl_str_mv | 2019-07-03T16:35:55Z |
| dc.date.issued.es.fl_str_mv | 2005 |
| dc.date.submitted.es.fl_str_mv | 20190703 |
| dc.description.abstract.none.fl_txt_mv | In this paper we present a method for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modeling the a posteriori probabilities of a set of features such as: color, position and motion, depth, etc. |
| dc.description.es.fl_txt_mv | Trabajo presentado en el 11vo.Congreso Argentino de Ciencias de la Computación, Cacic 2005. |
| dc.identifier.citation.es.fl_str_mv | Lecumberry, F, Pardo, A. Semi-automatic object tracking in video sequences [Preprint] Publicado en 110. Congreso Argentino de Ciencias de la Computación, Cacic 2005. Concordia, Argentina, 2005 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/21186 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Segmentación de video |
| dc.subject.other.es.fl_str_mv | PROCESAMIENTO de SEÑALES |
| dc.title.none.fl_str_mv | Semi-automatic object tracking in video sequences |
| dc.type.en.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Trabajo presentado en el 11vo.Congreso Argentino de Ciencias de la Computación, Cacic 2005. |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_bff7721e8441da3fc488fa7b73b64344 |
| identifier_str_mv | Lecumberry, F, Pardo, A. Semi-automatic object tracking in video sequences [Preprint] Publicado en 110. Congreso Argentino de Ciencias de la Computación, Cacic 2005. Concordia, Argentina, 2005 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/21186 |
| publishDate | 2005 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| spelling | 2019-07-03T16:35:55Z2019-07-03T16:35:55Z200520190703Lecumberry, F, Pardo, A. Semi-automatic object tracking in video sequences [Preprint] Publicado en 110. Congreso Argentino de Ciencias de la Computación, Cacic 2005. Concordia, Argentina, 2005https://hdl.handle.net/20.500.12008/21186Trabajo presentado en el 11vo.Congreso Argentino de Ciencias de la Computación, Cacic 2005.In this paper we present a method for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modeling the a posteriori probabilities of a set of features such as: color, position and motion, depth, etc.Made available in DSpace on 2019-07-03T16:35:55Z (GMT). No. of bitstreams: 5 LP05.pdf: 716562 bytes, checksum: 3ce8926661cc89e42a4808406f13d163 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license.txt: 4267 bytes, checksum: 6429389a7df7277b72b7924fdc7d47a9 (MD5) Previous issue date: 2005enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)Segmentación de videoPROCESAMIENTO de SEÑALESSemi-automatic object tracking in video sequencesPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaLecumberry, FedericoPardo, 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- Universidad de la Repúblicafalse |
| spellingShingle | Semi-automatic object tracking in video sequences Lecumberry, Federico Segmentación de video PROCESAMIENTO de SEÑALES |
| status_str | submittedVersion |
| title | Semi-automatic object tracking in video sequences |
| title_full | Semi-automatic object tracking in video sequences |
| title_fullStr | Semi-automatic object tracking in video sequences |
| title_full_unstemmed | Semi-automatic object tracking in video sequences |
| title_short | Semi-automatic object tracking in video sequences |
| title_sort | Semi-automatic object tracking in video sequences |
| topic | Segmentación de video PROCESAMIENTO de SEÑALES |
| url | https://hdl.handle.net/20.500.12008/21186 |
