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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2026-02-01
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| Σειρά: | Signals |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2624-6120/7/1/14 |
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