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A dynamic conditional random field model for foreground and shadow segmentation

Author
YANG WANG1 ; LOE, Kia-Fock2 ; WU, Jian-Kang3
[1] School of Computer Engineering, Nanyang Technological University, 50 Nanyang Drive, Singapore 637553, Singapore
[2] Department of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore 117543, Singapore
[3] Institute for Infocomm Research, 21 Heng Mm Keng Terrace, Singapore 119613, Singapore
Source

IEEE transactions on pattern analysis and machine intelligence. 2006, Vol 28, Num 2, pp 279-289, 11 p ; ref : 27 ref

CODEN
ITPIDJ
ISSN
0162-8828
Scientific domain
Control theory, operational research; Computer science
Publisher
IEEE Computer Society, Los Alamitos, CA
Publication country
United States
Document type
Article
Language
English
Author keyword
Conditional random fields dynamic models foreground segmentation shadow detection
Keyword (fr)
Analyse forme Champ aléatoire Echelle gris Installation intérieure Modèle dynamique Méthode ombre Segmentation image Séquence image Traitement image
Keyword (en)
Pattern analysis Random field Gray scale Indoor installation Dynamic model Shadow method Image segmentation Image sequence Image processing
Keyword (es)
Análisis forma Campo aleatorio Escala gris Instalación interior Modelo dinámico Método sombra Secuencia imagen Procesamiento imagen
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17396681

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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