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An innovative volume based video feature extraction technique

Wang, Jing, Xu, Zhijie, Pickering, Jonathan and Mishra, Rakesh (2008) An innovative volume based video feature extraction technique. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2008: CEARC’08. University of Huddersfield, Huddersfield, pp. 110-116. ISBN 978-1-86218-067-3

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Abstract

Based on the video frames, a spatial-temporal volume data structure represents more flexible processing methods than traditional 2D sequential images approach in computer vision. This paper describes the data structure of the spatial-temporal volume and the feature volume coming from the original video data. A compressed volume structure called a feature video is presented showing how a feature volume can be build based on the sequential frames. The existent 3D volume processing methods such as slice processing, 3D filters and CFD methods are also introduced in this paper. As a practical application, human gait analysis based on volume slice processing is described. This includes the video capture, volume organized and the slice feature extraction. The result of experimental data shows the different features between different behaviors of gait.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Pedagogical Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision
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Depositing User: Jing Wang
Date Deposited: 18 Feb 2009 15:07
Last Modified: 05 Jan 2011 13:06
URI: http://eprints.hud.ac.uk/id/eprint/3294

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