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October 3, 2025Open Access

Person detection and re-identification in open-world settings of retail stores and public spaces

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Authors

BBBranko BrkljačMBMilan Brkljač

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Overview

Analysis of person detection and re-identification across multiple camera feeds, indicating challenges in open-world computer vision applications.

Key Points

  • Person detection and re-identification aims to track individuals across various locations and times.
  • The study emphasizes the complexities of multi-camera setups requiring advanced tracking solutions.
  • Existing challenges in system design architectures for computer vision in retail settings are critically examined.
  • Performance analysis of real-time solutions showcases how video surveillance can enhance marketing analytics.

Cite This Study

Brkljač et al. (2025) studied this question.

synapsesocial.com/papers/68e03501f0e39f13e7fa37dfhttps://doi.org/10.48550/arxiv.2505.00772
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Also Consider

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  1. 1Person Re-Identification in Special Scenes Based on Deep Learning: A Comprehensive Survey2024 · 3 citations
  2. 2An Overview of Re-Identification2024
  3. 3Person Re-ID: Tackling occlusion, labeled data, and privacy2024
  4. 4Person Identification with Metric Learning Using Privileged Information2025
  5. 5Deep Learning Based Multi-Camera Person Tracking and Re-identification System2024