Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5961
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dc.contributor.authorMeng, H-
dc.contributor.authorPears, N-
dc.date.accessioned2011-11-15T16:44:14Z-
dc.date.available2011-11-15T16:44:14Z-
dc.date.issued2009-
dc.identifier.citationPattern Recognition Letters, 30(12): 1049 - 1058, 2009en_US
dc.identifier.issn0167-8655-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0167865509000476en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/5961-
dc.descriptionCopyright © 2009 Elsevier B.V. All rights reserved.en_US
dc.description.abstractIn this paper, a human action recognition system is proposed. The system is based on new, descriptive ‘temporal template’ features in order to achieve high-speed recognition in real-time, embedded applications. The limitations of the well-known ‘Motion History Image’ (MHI) temporal template are addressed and a new ‘Motion History Histogram’ (MHH) feature is proposed to capture more motion information in the video. MHH not only provides rich motion information, but also remains computationally inexpensive. To further improve classification performance, we combine both MHI and MHH into a low dimensional feature vector which is processed by a support vector machine (SVM). Experimental results show that our new representation can achieve a significant improvement in the performance of human action recognition over existing comparable methods, which use 2D temporal template based representations.en_US
dc.language.isoenen_US
dc.subjectGesture recognitionen_US
dc.subjectEvent recognitionen_US
dc.subjectEmbedded visionen_US
dc.subjectMotion analysisen_US
dc.subjectMachine learningen_US
dc.titleDescriptive temporal template features for visual motion recognitionen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.patrec.2009.03.003-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel (Active)-
pubs.organisational-data/Brunel/Brunel (Active)/School of Engineering & Design-
Appears in Collections:Electronic and Computer Engineering
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Dept of Electronic and Electrical Engineering Research Papers

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