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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/25220

Title: A HMM Framework for Motion based parsing for video from Observational Psychology
Author: DOYLE, ERIKA
FULLER, RAYMOND G
HARTE, NAOMI
KOKARAM, ANIL CHRISTOPHER
Author's Homepage: http://people.tcd.ie/nharte
Keywords: HMM
Motion based parsing
Rotation Estimation
Issue Date: 2006
Publisher: IEEE
Citation: Daire Lennon, Naomi Harte, Anil Kokaram, Erika Doyle, Ray Fuller, A HMM Framework for Motion based parsing for video from Observational Psychology, IEEE Irish Machine Vision and Image Processing Conference, Irish Machine Vision and Image Processing Conference, 2006
Abstract: In Psychology it is common to conduct studies involving the observation of humans undertaking some task. The sessions are typically recorded on video and used for subjective visual analysis. The subjective analysis is tedious and time consuming, not only because much useless video material is recorded but also because subjective measures of human behaviour are not necessarily repeatable. This paper presents a HMM framework for content based video analysis to facilitate the automated parsing of video from one such study involving Dyslexia. The framework relies on implicit measures of human motion that can be generalised to other applications in the domain of human observation.
Description: PUBLISHED
URI: http://www.mee.tcd.ie/~sigmedia/Publications
http://hdl.handle.net/2262/25220
Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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