A gaussian-median filter for moving objects segmentation applied for static scenarios

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3 Citas (Scopus)

Resumen

Background subtraction or also called foreground detection is an approach normally used for moving object segmentation in video sequences captured from a fixed camera. Most of the methods under this approach are not able to segment or require the strict absence of objects during their training or learning period in the first frames. In this document, a method capable of segmenting moving objects from the beginning of a video sequence and at the same time constructing a reference background image is proposed. The segmentation results show that the foreground and background regions of the scene are not affected during this stage compared to other methods.

Idioma originalInglés
Título de la publicación alojadaIntelligent Systems and Applications - Proceedings of the 2018 Intelligent Systems Conference IntelliSys Volume 1
EditoresKohei Arai, Supriya Kapoor, Rahul Bhatia
EditorialSpringer Verlag
Páginas478-493
Número de páginas16
ISBN (versión impresa)9783030010539
DOI
EstadoPublicada - 2018
EventoIntelligent Systems Conference, IntelliSys 2018 - London, Reino Unido
Duración: 6 sep. 20187 sep. 2018

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen868
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaIntelligent Systems Conference, IntelliSys 2018
País/TerritorioReino Unido
CiudadLondon
Período6/09/187/09/18

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