Real-time background subtraction for video surveillance: From research to reality

This paper reviews and evaluates performance of few common background subtraction algorithms which are median-based, Gaussian-based and Kernel density-based approaches. These algorithms are tested using four sets of image sequences contributed by Wallflower datasets. They are the image sequences of...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hedayati, M, Zaki, W M D W, Hussain, A
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Background Subtraction Change detection algorithms Gaussian Mixture Modal Gaussian processes Image sequences KDE Kernel Layout Median Object detection Real time systems Real-Time Video Surveillance Signal processing algorithms Video signal processing Video surveillance
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