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Comparative Study of Supervised Deep Learning Architectures for Background Subtraction and Motion Segmentation on CDnet2014

Foreground segmentation and background subtraction are critical components in many computer vision applications, such as intelligent video surveillance, urban security systems, and obstacle detection for autonomous vehicles. Although extensively studied over the past decades, these tasks remain chal...

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Principais autores: Oussama Boufares, Wajdi Saadaoui, Mohamed Boussif
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-02-01
Serier:Signals
Fag:
CDnet2014 dataset
moving object detection
background subtraction
supervised method
Online adgang:https://www.mdpi.com/2624-6120/7/1/14
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