Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models

• Published in: Informatika i avtomatizaciâ (Online) Vol. 24; no. 3; pp. 982 - 1001
• 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 25.06.2025
• Subjects: cmc/cdf metrics; convolutional neural networks (cnns); deep learning; person re-identification; vgg16; video surveillance systems

Person re-identification (Re-ID) is crucial in intelligent surveillance, requiring precise identification of individuals across multiple camera viewpoints. Traditional distance-based methods, such as Euclidean and Cosine, struggle with challenges like posture variations and occlusions, limiting thei...