A ResNet-101 deep learning framework induced transfer learning strategy for moving object detection

Background subtraction is a crucial stage in many visual surveillance systems. The prime objective of any such system is to detect moving objects such that the system could be utilized to face many real-time challenges. In the last few decades, various methods have been developed to detect moving ob...

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Veröffentlicht in:	Image and vision computing Jg. 146; S. 105021
Hauptverfasser:	Panigrahi, Upasana, Sahoo, Prabodh Kumar, Panda, Manoj Kumar, Panda, Ganapati
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2024
Schlagworte:	Background subtraction Contrast normalization Deep learning architecture Feature pooling framework Transfer learning Deep learning architecture Feature pooling framework Background subtraction Transfer learning Contrast normalization
ISSN:	0262-8856, 1872-8138
Online-Zugang:	Volltext
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