A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking

In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking. The proposed DS-CRF model consists of a series of state layers, where each state layer spatially characterizes the object silhouette at a particular point i...

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Detalles Bibliográficos
Autores principales: Shafiee, Mohammad Javad, Azimifar, Zohreh, Wong, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551676/
https://www.ncbi.nlm.nih.gov/pubmed/26313943
http://dx.doi.org/10.1371/journal.pone.0133036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551676/
https://www.ncbi.nlm.nih.gov/pubmed/26313943
http://dx.doi.org/10.1371/journal.pone.0133036

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