Enhanced People Re-identification in CCTV Surveillance Using Deep Learning: A Framework for Real-World Applications

• Published in: Informatika i avtomatizaciâ (Online) Vol. 24; no. 2; pp. 583 - 603
• Main Authors: Idrissi Alami, Mossaab, Ez-zahout, Abderrahmane, Omary, Fouzia
• Format: Journal Article
• Language: English
• Published: Russian Academy of Sciences, St. Petersburg Federal Research Center 01.04.2025
• Subjects: cctv surveillance; convolutional neural networks (cnns); deep learning; people re-identification (reid); real-world applications

People re-identification (ReID) plays a pivotal role in modern surveillance, enabling continuous tracking of individuals across various CCTV cameras and enhancing the effectiveness of public security systems. However, ReID in real-world CCTV footage presents challenges, including changes in camera a...