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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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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DOI: https://doi.org/10.1007/978-3-642-38628-2_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38627-5
Online ISBN: 978-3-642-38628-2
eBook Packages: Computer ScienceComputer Science (R0)