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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Váldodahkkit:	Oussama Boufares, Wajdi Saadaoui, Mohamed Boussif
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2026-02-01
Ráidu:	Signals
Fáttát:	CDnet2014 dataset moving object detection background subtraction supervised method
Liŋkkat:	https://www.mdpi.com/2624-6120/7/1/14
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