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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

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

  1. 1Person Identification with Metric Learning Using Privileged Information2025
  2. 2Advancements in Person Re-Identification Through Artificial Intelligence Techniques2025
  3. 3Attribute-based people search: open attribute recognition for person re-identification in surveillance and security2025
  4. 4Efficient Person Re-Identification via Progressive Filter Pruning and Body Part-Aware Feature Learning2025
  5. 5Self-supervised learning for fully unsupervised re-identification in real-world applications2025