Please use this identifier to cite or link to this item:
https://accedacris.ulpgc.es/handle/10553/72947
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nava, Fernando Pérez | en_US |
dc.contributor.author | Falcón Martel, Antonio | en_US |
dc.date.accessioned | 2020-06-03T19:11:51Z | - |
dc.date.available | 2020-06-03T19:11:51Z | - |
dc.date.issued | 2001 | en_US |
dc.identifier.isbn | 978-3-540-42120-7 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | https://accedacris.ulpgc.es/handle/10553/72947 | - |
dc.description.abstract | In this paper, a dynamic model for contours using wavelets is presented. First it is shown how to construct probabilistic shape priors for modeling contour deformation using wavelets. Then a dynamic model for shape evolution in time is presented. This allows this formulation to be applied to the problem of tracking a contour using the stochastic model to predict contour location and appearance in successive image frames. Computational results for two real image problems are given for the Condensation (Conditional Density Propagation) tracking algorithm. It is shown that this formulation successfully tracks the objects in the image sequences. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 2059, p. 431-439, (Enero 2001) | en_US |
dc.subject | 120304 Inteligencia artificial | en_US |
dc.title | Dynamic models for wavelet representations of shape | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 4th International Workshop on Visual Form, IWVF4 2001 | en_US |
dc.identifier.doi | 10.1007/3-540-45129-3_39 | en_US |
dc.identifier.scopus | 84957580592 | - |
dc.contributor.authorscopusid | 12753631600 | - |
dc.contributor.authorscopusid | 7102242140 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.description.lastpage | 439 | en_US |
dc.description.firstpage | 431 | en_US |
dc.relation.volume | 2059 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2001 | en_US |
dc.identifier.conferenceid | events121566 | - |
dc.identifier.ulpgc | Sí | es |
dc.description.jcr | 0,415 | |
dc.description.jcrq | Q3 | |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.orcid | 0000-0002-7467-947X | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Falcón Martel,Antonio | - |
crisitem.event.eventsstartdate | 28-05-2001 | - |
crisitem.event.eventsenddate | 30-05-2001 | - |
Appears in Collections: | Actas de congresos |
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