Region-based mixture of Gaussians modelling for foreground detection in dynamic scenes

DOI10.1016/J.PATCOG.2015.04.016zbMath1393.68159OpenAlexW2067764400MaRDI QIDQ1669611

Peng Zhang

Publication date: 3 September 2018

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://pureadmin.qub.ac.uk/ws/files/14711839/PR_JRNL_SV_PM_HZ.pdf

zbMATH Keywords

mixture of Gaussiansmoving object detectiondynamic background subtractionexpectation maximisationregion-based modelling

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (1)

Eigenbackground revisited: can we model the background with eigenvectors?

Uses Software

• BGSLibrary
• PRMLT

Cites Work

• Unnamed Item
• Dynamic textures
• A Novel Video Dataset for Change Detection Benchmarking
• ViBe: A Universal Background Subtraction Algorithm for Video Sequences

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