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Title: Exploiting Temporal Coherence to Improve Person Re-identification
Authors: Santana, Oliverio J. 
Lorenzo-Navarro, Javier 
Freire-Obregón, David 
Hernández-Sosa, Daniel 
Isern-González, José
Castrillón-Santana, Modesto 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Computer Vision
Person Re-Identification
Sporting Event
Temporal Coherence
Ultra-Distance Race
Issue Date: 2023
Publisher: Springer 
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022) 
Abstract: The uncontrolled characteristics of long-term scenarios, like ultra-running competitions, are challenging for person re-identification approaches based on computer vision methods. State-of-the-art techniques have reported hardly moderate success for whole-body runner re-identification due to the existence of distinct illumination conditions, as well as changes of clothing and/or accessories like backpacks, caps, and sunglasses. This paper explores integrating these biometric cues with the particular spatio-temporal context information present in the competition live track system. Our results confirm the significance of this strategy to limit the gallery size and boost re-identification performance.
ISBN: 9783031245374
ISSN: 0302-9743
DOI: 10.1007/978-3-031-24538-1_7
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 13822 LNCS, p. 134-151, (Enero 2023)
Appears in Collections:Actas de congresos
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