Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 7887))
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Abstract
This paper addresses the problem of human activity recognition under partial occlusions and viewpoint changes. We tackle with these problems by means of a novel temporal template denoted as Histogram of Normalized Optical Flow (HoNOF) and a set of HMM-based classifiers. Experiments have been conducted on the IXMAS data set for training and the EPFL-IXMAS data set for testing, showing the good behavior of this approach.
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Authors and Affiliations
Instituto de Investigacion en Ingenieria de Aragon, University of Zaragoza, Spain
Carlos Orrite, Mario Rodriguez & Elías Herrero
Indra Software Labs, Spain
Pedro Monforte
- Carlos Orrite
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- Pedro Monforte
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- Mario Rodriguez
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- Elías Herrero
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Editor information
Editors and Affiliations
Institute for Systems and Robotics, Instituto Superior Técnico, Portugal
João M. Sanches
University of Alicante, Spain
Luisa Micó
INESC and University of Porto, Porto, Portugal
Jaime S. Cardoso
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Orrite, C., Monforte, P., Rodriguez, M., Herrero, E. (2013). Human Action Recognition under Partial Occlusions. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_47
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