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arXiv AI By Quentin Dh\^ote, Romaric Audigier

Luggage re-identification: A study of strategies towards a real-world application

Read the original on arXiv AI →

The paper investigates strategies for luggage re-identification (ReID) in real-world video surveillance settings, such as airports and border crossings. It focuses on an end-to-end pipeline that processes multiple video streams to detect and re-identify luggage, addressing challenges like occlusions, cluttered backgrounds, and crowded scenes. The study evaluates different approaches for selecting and merging multiple views and shots of the same luggage, as well as training on varied environment datasets, to improve overall ReID performance in practical applications.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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