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http://bura.brunel.ac.uk/handle/2438/8221Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hu, J | - |
| dc.contributor.author | Boulgouris, NV | - |
| dc.date.accessioned | 2014-03-31T09:59:12Z | - |
| dc.date.available | 2014-03-31T09:59:12Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.citation | Pattern Recognition Letters, 32(14), 1814 - 1821, 2011 | en_US |
| dc.identifier.issn | 0167-8655 | - |
| dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0167865511002261 | en |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/8221 | - |
| dc.description | This is the post-print version of the final paper published in Pattern Recognition Letters. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2011 Elsevier B.V. | en_US |
| dc.description.abstract | We present a method for the recognition of human activities. The proposed approach is based on the construction of a set of templates for each activity as well as on the measurement of the motion in each activity. Templates are designed so that they capture the structural and motion information that is most discriminative among activities. The direct motion measurements capture the amount of translational motion in each activity. The two features are fused at the recognition stage. Recognition is achieved in two steps by calculating the similarity between the templates and motion features of the test and reference activities. The proposed methodology is experimentally assessed and is shown to yield excellent performance. | en_US |
| dc.description.sponsorship | European Commission | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.subject | Activity | en_US |
| dc.subject | Recognition | en_US |
| dc.subject | Surveillance | en_US |
| dc.title | Fast human activity recognition based on structure and motion | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1016/j.patrec.2011.07.013 | - |
| pubs.organisational-data | /Brunel | - |
| pubs.organisational-data | /Brunel/Brunel Active Staff | - |
| pubs.organisational-data | /Brunel/Brunel Active Staff/School of Engineering & Design | - |
| pubs.organisational-data | /Brunel/Brunel Active Staff/School of Engineering & Design/Electronic and Computer Engineering | - |
| pubs.organisational-data | /Brunel/Group Publication Pages | - |
| Appears in Collections: | Electronic and Computer Engineering Publications Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 293.48 kB | Adobe PDF | View/Open |
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