Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/5961
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Meng, H | - |
dc.contributor.author | Pears, N | - |
dc.date.accessioned | 2011-11-15T16:44:14Z | - |
dc.date.available | 2011-11-15T16:44:14Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Pattern Recognition Letters, 30(12): 1049 - 1058, 2009 | en_US |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0167865509000476 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/5961 | - |
dc.description | Copyright © 2009 Elsevier B.V. All rights reserved. | en_US |
dc.description.abstract | In 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.iso | en | en_US |
dc.subject | Gesture recognition | en_US |
dc.subject | Event recognition | en_US |
dc.subject | Embedded vision | en_US |
dc.subject | Motion analysis | en_US |
dc.subject | Machine learning | en_US |
dc.title | Descriptive temporal template features for visual motion recognition | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://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 Electrical Engineering Publications Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Preprint.pdf | 1.04 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.