Improving Slow-Moving Object Detection in Complex Environments Using a Feature Pooling Enhanced Encoder-Decoder Model

The ability to detect moving objects is of great importance in a wide range of visual surveillance systems, playing a vital role in maintaining security and ensuring effective monitoring. However, the primary aim of such systems is to detect objects in motion and tackle real-world challenges effect...

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Hlavní autoři:	Prabodh Kumar Sahoo, Upasana Panigrahi, Manoj Kumar Panda, Ganapati Panda
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Computer Vision Center Press 2025-11-01
Edice:	ELCVIA Electronic Letters on Computer Vision and Image Analysis
Témata:	Background subtraction, Deep neural network, Transfer learning, Slow moving object, Feature pooling framework, Encoder-Decoder type network
On-line přístup:	https://elcvia.cvc.uab.cat/article/view/2023
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!