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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Detalles Bibliográficos

Principais autores:	Prabodh Kumar Sahoo, Upasana Panigrahi, Manoj Kumar Panda, Ganapati Panda
Formato:	Artigo
Idioma:	Inglês
Publicado:	Computer Vision Center Press 2025-11-01
Series:	ELCVIA Electronic Letters on Computer Vision and Image Analysis
Assuntos:	Background subtraction, Deep neural network, Transfer learning, Slow moving object, Feature pooling framework, Encoder-Decoder type network
Acceso en liña:	https://elcvia.cvc.uab.cat/article/view/2023
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