Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Russian Academy of Sciences, St. Petersburg Federal Research Center
2025-06-01
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| Series: | Информатика и автоматизация |
| Subjects: | |
| Online Access: | https://ia.spcras.ru/index.php/sp/article/view/16914 |
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