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Vehicular Re-Identification from Uncontrolled Multiple Views

Vehicle re-identification (re-ID) across disparate sensing modalities remains a fundamental challenge for transportation research. In this work, we introduce a deep multi-view vehicle re-ID framework that leverages Siamese networks to compare pairs of vehicle images and produce matching scores, enab...

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Principais autores: Sally Ghanem, John H. Holliman, Ryan A. Kerekes
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-12-01
Serier:Future Transportation
Fag:
vehicle
re-identification
convolutional neural networks
unmanned aerial vehicles
surveillance systems
Online adgang:https://www.mdpi.com/2673-7590/5/4/202
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