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September 12, 2025Defence Science JournalOpen Access

Advancements in Person Re-Identification Through Artificial Intelligence Techniques

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Authors

RBRevathi Lavanya BaggamVKV. Valli Kumari

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Overview

Comprehensive analysis of deep learning methods for cross-camera person Re-ID, highlighting challenges and advancements.

Key Points

  • Recent advances in person re-identification show improvements in accuracy and feature extraction using deep learning techniques.
  • State-of-the-art methods like DeepFace and DeepID2+ achieve near-human accuracy levels in face recognition tasks.
  • Innovations in transformer-based models and multi-modal biometric fusion suggest future directions for enhancing Re-ID systems.
  • Challenges in fairness and cross-domain generalization must be addressed for real-world deployment of ethical Re-ID technologies.

Cite This Study

Baggam et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4d31b076d99fa55ef7https://doi.org/10.14429/dsj.20574
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Advancements and Challenges in Deep Learning-Based Person Re-Identification: A Review2025
  2. 2Person Re-Identification in Special Scenes Based on Deep Learning: A Comprehensive Survey2024 · 3 citations
  3. 3Person Re-ID: Tackling occlusion, labeled data, and privacy2024
  4. 4Applying deep learning image enhancement methods to improve person re-identification2024 · 11 citations
  5. 5Person Identification with Metric Learning Using Privileged Information2025