People Identification Based on Soft Biometrics Features Obtained from 2D Poses

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorFATEC - São Paulo State Technological College-
Autor(es): dc.contributorResearch and Development Center Leopoldo Américo Miguez de Mello (CENPES/PETROBRÁS)-
Autor(es): dc.creatorTavares, Henrique Leal [UNESP]-
Autor(es): dc.creatorNeto, João Baptista Cardia-
Autor(es): dc.creatorPapa, João Paulo [UNESP]-
Autor(es): dc.creatorColombo, Danilo-
Autor(es): dc.creatorMarana, Aparecido Nilceu [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:52:22Z-
Data de disponibilização: dc.date.available2022-02-22T00:52:22Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-61377-8_22-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/208081-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/208081-
Descrição: dc.descriptionAn important challenge in the research field of Biometrics is real-time identification, at a distance, in uncontrolled environments, using low-resolution cameras. In such circumstances, soft biometrics can be the only option. In this work, we propose two novel descriptor methods for biometric identification based on ensemble of anthropometric measurements and joints heat-map of the person skeleton, captured from video frames through state-of-the-art 2D poses estimation methods. The proposed methods were assessed on a popular benchmark dataset, CASIA Gait Dataset B, and obtained good results (85% and 89% of rank-1 identification rates, respectively) with PifPaf 2D pose estimation method.-
Descrição: dc.descriptionUniversidade Estadual Paulista-
Descrição: dc.descriptionUNESP - São Paulo State University-
Descrição: dc.descriptionFATEC - São Paulo State Technological College-
Descrição: dc.descriptionResearch and Development Center Leopoldo Américo Miguez de Mello (CENPES/PETROBRÁS)-
Descrição: dc.descriptionUNESP - São Paulo State University-
Formato: dc.format318-332-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subject2D pose estimation-
Palavras-chave: dc.subjectAnthropometric measurements-
Palavras-chave: dc.subjectBiometrics-
Palavras-chave: dc.subjectJoints heat-maps-
Palavras-chave: dc.subjectPeople identification-
Título: dc.titlePeople Identification Based on Soft Biometrics Features Obtained from 2D Poses-
Aparece nas coleções:Repositório Institucional - Unesp

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