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

Paper recorded by Signals 4 on 2026-10-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.AI · 人工智能 · first seen 2026-10-30

Abstract

Luggage re-identification (ReID) is a critical task in video surveillance for forensics, security or border management (suspicious or abandoned luggage recognition), as well as luggage management (lost luggage recovery). It enables the association of observations of the same luggage across disjoint camera views in complex environments such as airports, train stations and border crossing. While exi

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#63 most recent of 920 cs.AI papers we have recorded · ↑ newer: Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Gener · ↓ older: From extreme weather to agricultural consequences with agentic AI
Cite this page: Luggage re-identification: A study of strategies towards a real-world application: the #63 most recent of 920 cs.AI papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/luggage-re-identification-a-study-of-strategies-towards-a-real-world-application.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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