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Biologically-inspired robust motion segmentation using mutual information : Background Models Challenge (BMC)

Author
ELLIS, Anna-Louise1 ; FERRYMAN, James1
[1] Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, Reading, Berkshire RG6 6AY, United Kingdom
Conference name
ACCV (Asian Conference on Computer Vision) 2012 (Asian Conference on Computer Vision) 2012 (Daejeon 2012-11-05)
Source

Computer vision and image understanding (Print). 2014, Vol 122, pp 47-64, 18 p ; ref : 63 ref

CODEN
CVIUF4
ISSN
1077-3142
Scientific domain
Cognition; Computer science
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Conference Paper
Language
English
Author keyword
Background modelling Biologically-inspired vision Performance evaluation Segmentation Surveillance
Keyword (fr)
Estimation mouvement Evaluation performance Information mutuelle Monitorage Profondeur champ Surveillance Théorie information Vision ordinateur Biomimétique Neurosciences Segmentation image
Keyword (en)
Motion estimation Performance evaluation Mutual information Monitoring Depth of field Surveillance Information theory Computer vision Biomimetics Neuroscience Image segmentation
Keyword (es)
Estimación movimiento Evaluación prestación Información mutual Monitoreo Profundidad campo Vigilancia Teoría información Visión ordenador Biomimética Neurociencias Segmentación de imágenes
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
28475344

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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