Robust and efficient FISTA-based method for moving object detection under background movements

Moving object detection is a fundamental task in many video processing applications, such as video surveillance. The robustness and efficiency of background subtraction make it one of the most common methods for detecting moving objects from a video stream. However, adapting background models with m...

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Veröffentlicht in:	Knowledge-based systems Jg. 294; S. 111765
Hauptverfasser:	Amoozegar, Maryam, Akbarizadeh, Masoumeh, Bouwmans, Thierry
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 21.06.2024 Elsevier
Schlagworte:	Background subtraction Computer Science Fast iterative Shrinkage-Thresholding algorithm Moving object detection Online learning Fast iterative Shrinkage-Thresholding algorithm Background subtraction Moving object detection Online learning Robust PCA Foreground Detection Background Subtraction Background Modeling
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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