Summarisation of surveillance videos by key-frame selection

Yang, Yan, Dadgostar, Farhad, Sanderson, Conrad and Lovell, Brian C. (2011). Summarisation of surveillance videos by key-frame selection. In: Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Ghent, Belgium, (1-6). 22-25 August 2011. doi:10.1109/ICDSC.2011.6042925


Author Yang, Yan
Dadgostar, Farhad
Sanderson, Conrad
Lovell, Brian C.
Title of paper Summarisation of surveillance videos by key-frame selection
Conference name Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)
Conference location Ghent, Belgium
Conference dates 22-25 August 2011
Proceedings title Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)
Journal name 2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2011
Sub-type Fully published paper
DOI 10.1109/ICDSC.2011.6042925
Open Access Status DOI
ISBN 9781457717086
9781457717062
Start page 1
End page 6
Total pages 6
Language eng
Abstract/Summary We propose two novel techniques for automatic summarisation of lengthy surveillance videos, based on selection of frames containing scenes most informative for rapid perusal and interpretation by humans. In contrast to other video summarisation methods, the proposed methods explicitly focus on foreground objects, via edge histogram descriptor and a localised foreground information quantity (entropy) measurement. Frames are iteratively pruned until a preset summarisation rate is reached. Experiments on the publicly available CAVIAR dataset, as well as our own dataset focused on people walking through natural choke points (such as doors), suggest that the proposed method obtains considerably better results than methods based on optical flow, entropy differences and colour spatial distribution characteristics.
Keyword Key-frames
Foreground objects
Edge histogram
Entropy
Surveillance
Video summarisation
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Thu, 22 Dec 2011, 01:35:34 EST by Ms Deborah Brian on behalf of School of Information Technol and Elec Engineering