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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Vydané v:	Image and vision computing Ročník 146; s. 105021
Hlavní autori:	Panigrahi, Upasana, Sahoo, Prabodh Kumar, Panda, Manoj Kumar, Panda, Ganapati
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.06.2024
Predmet:	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
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