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dc.contributor.authorBisogni, Carmen
dc.date.accessioned2023-02-24T09:39:00Z
dc.date.available2023-02-24T09:39:00Z
dc.date.issued2021-04-12
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/6446
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-4518
dc.description2019 - 2020it_IT
dc.description.abstractBiometrics has been a thriving field of Pattern Recognition forlong. Both Academia and Business have thus focused their at-tention in the practical use of biometrics to advance and pro-mote varying applications in forensics, security and surveillance,health-care, mobility, human- computer interaction (HCI), safetyand trust, and automation and robotics all of much interest toGovernment, Finance, Education etc. As the biometric problemsthat have to be solved have become ever more challenging andsophisticated, the techniques involved have found help and inspi-ration in human perception. As such, soft biometrics are traitsthat are naturally used by humans to distinguish their peers. En-hance as well both identification and re-identification but avoidimpersonation and disinformation. Soft biometrics are physicaland behavioral traits that capture human characteristics that gobeyond appearance, e.g., age, gender, and gait. This thesis aims toadvance the state-of-the art in varying applications on how to es-timate the head pose of a subject and assist in her face recognitionincluding tributaries such as attention, gait analysis to estimatethe gender, and human behavior to meter the extent of cooperationand interest. Complete processing pipelines including data cap-ture, preprocessing and feature extraction, adaptation and clas- sification, and decision making are presented and comparativelyevaluated to show merit and advantage compared with currentstate-of-the art methods. Such methods are further integratedand successfully applied among others to the purposeful interplaybetween social engineering and social humanoid robots. [edited by Author]it_IT
dc.language.isoenit_IT
dc.publisherUniversita degli studi di Salernoit_IT
dc.subjectSoft biometricsit_IT
dc.subjectMultibiometricsit_IT
dc.subjectHumanoid robotsit_IT
dc.titleSoft biometrics: emerging traits and applicationsit_IT
dc.typeDoctoral Thesisit_IT
dc.subject.miurINF/01 INFORMATICAit_IT
dc.contributor.coordinatoreChiacchio, Pasqualeit_IT
dc.description.cicloXXXIII cicloit_IT
dc.contributor.tutorNappi, Micheleit_IT
dc.identifier.DipartimentoDipartimento di ingegneria dell'informazione ed elettrica e matematica applicatait_IT
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