64396 20190709135424.0 doi 10.1109/TCYB.2016.2558447 sideral 97394 ART-2017-97394 eng (orcid)0000-0001-6324-940X Rodríguez, Mario Universidad de Zaragoza One-Shot Learning of Human Activity With an MAP Adapted GMM and Simplex-HMM 2017 Access copy available to the general public Unrestricted This paper presents a novel activity class representation using a single sequence for training. The contribution of this representation lays on the ability to train an one-shot learning recognition system, useful in new scenarios where capturing and labeling sequences is expensive or impractical. The method uses a universal background model of local descriptors obtained from source databases available on-line and adapts it to a new sequence in the target scenario through a maximum a posteriori adaptation. Each activity sample is encoded in a sequence of normalized bag of features and modeled by a new hidden Markov model formulation, where the expectation-maximization algorithm for training is modified to deal with observations consisting in vectors in a unit simplex. Extensive experiments in recognition have been performed using one-shot learning over the public datasets Weizmann, KTH, and IXMAS. These experiments demonstrate the discriminative properties of the representation and the validity of application in recognition systems, achieving state-of-the-art results. info:eu-repo/grantAgreement/ES/MINECO/BES-2011-043752 info:eu-repo/grantAgreement/ES/MINECO/TIN2013-45312-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 8.803 2017 AUTOMATION & CONTROL SYSTEMS 1 / 61 = 0.016 2017 Q1 T1 COMPUTER SCIENCE, CYBERNETICS 1 / 22 = 0.045 2017 Q1 T1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 3 / 132 = 0.023 2017 Q1 T1 3.274 2017 Computer Science Applications 2017 Q1 Control and Systems Engineering 2017 Q1 Software 2017 Q1 Human-Computer Interaction 2017 Q1 Information Systems 2017 Q1 Electrical and Electronic Engineering 2017 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-0903-5520 Orrite, Carlos Universidad de Zaragoza (orcid)0000-0001-7671-7540 Medrano, Carlos Universidad de Zaragoza Makris, Dimitrios 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5008 X Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Proy. investigación JBA 47, 7 (2017), 1769-1780 IEEE trans. cybern. (Print) IEEE transactions on cybernetics 2168-2267 670965 http://zaguan.unizar.es/record/64396/files/texto_completo.pdf Postprint 139680 http://zaguan.unizar.es/record/64396/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:64396 articulos driver 2019-07-09-11:28:16 ARTICLE