Idioma:

Traditional and recent approaches in background modeling for foreground detection: An overview

Bouwmans, Thierry

Computer science review, 2014-05, Vol.11-12, p.31-66

Texto completo disponível

Citações Citado por

Título:
Traditional and recent approaches in background modeling for foreground detection: An overview
Autor: Bouwmans, Thierry
Assuntos: Background initialization ; Background maintenance ; Background modeling ; Background subtraction ; Computer Science ; Computer simulation ; Documents ; Foreground detection ; Handles ; Image Processing ; Libraries ; Mathematical models ; Surveillance ; Surveys
É parte de: Computer science review, 2014-05, Vol.11-12, p.31-66
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: Background modeling for foreground detection is often used in different applications to model the background and then detect the moving objects in the scene like in video surveillance. The last decade witnessed very significant publications in this field. Furthermore, several surveys can be found in the literature but none of them addresses an overall review in this field. So, the purpose of this paper is to provide a complete survey of the traditional and recent approaches. First, we categorize the different approaches found in the literature. We have classified them in terms of the mathematical models used and we have discussed them in terms of the critical situations that they claim to handle. Furthermore, we present the available resources, datasets and libraries. Then, we conclude with several promising directions for future research.
Editor: Elsevier Inc
Idioma: Inglês

Links

Voltar para lista de resultados