|Title:||Boosting Re-identification in the Ultra-running Scenario||Authors:||Medina Ramírez, Miguel Ángel
Lorenzo Navarro, José Javier
Freire Obregón, David Sebastián
Santana, Oliverio J.
Hernández Sosa, José Daniel
Castrillón Santana, Modesto
|UNESCO Clasification:||1203 Ciencia de los ordenadores||Keywords:||Computer Vision in Sports
|Issue Date:||2022||Publisher:||SciTePress Digital Library||Journal:||ICPRAM (Setúbal)||Conference:||11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022)||Abstract:||In the context of ultra-running (longer than a marathon distance), whole-body based re-identification (ReId) state of the art approaches have reported moderated success due to the challenging unrestricted characteristics of the long-term scenario, as very different illuminations, accessories (backpacks, caps, sunglasses), and/or changes of clothes are present. In this paper, we explore the integration of two elements in the ReId process: 1) an additional biometric cue such as the face, and 2) the particular spatio-temporal context information present in these competitions. Preliminary results confirm the limited relevance of the facial cue in the (not high resolution) ReId scenario and the great benefits of the contextual information to reduce the gallery size and consequently improve the overall ReId performance.||URI:||http://hdl.handle.net/10553/122550||ISBN:||978-989-758-549-4||ISSN:||2184-4313||DOI:||10.5220/0010904600003122||Source:||En Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM, p. 461-469|
|Appears in Collections:||Actas de congresos|
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