Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/84351
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: Colour invariant head pose classification in low resolution video
Author: Benfold, B.
Reid, I.
Citation: Proceedings of the British Machine Vision Conference 1-4 September 2008 / M. Everingham and C. Needham (eds.): pp.49.1-49.10
Publisher: BMVA Press
Publisher Place: UK
Issue Date: 2008
ISBN: 9781901725360
Conference Name: British Machine Vision Conference (19th : 2008 : Leeds, UK)
Statement of
Responsibility: 
Ben Benfold and Ian Reid
Abstract: This paper presents an algorithm for the classification of head pose in low resolution video. Invariance to skin, hair and background colours is achieved by classifying using an ensemble of randomised ferns which have been trained on labelled images. The ferns are used to simultaneously classify the head pose and to identify the most likely hypothesis for the mapping between colours and labels. Results from video sequences demonstrate that an improved posterior estimation using learnt colour distributions reduces classification error and provides accurate pose information in images where the head occupies as little as 10 pixels square.
Rights: © BMVA August 2008
RMID: 0020131259
DOI: 10.5244/C.22.49
Description (link): http://www.comp.leeds.ac.uk/bmvc2008/proceedings/index.html
Appears in Collections:Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.