A HMM Framework for Motion based parsing for video from Observational Psychology
File Type:
PDFItem Type:
Conference PaperDate:
2006Citation:
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, 2006Download Item:
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.
Author's Homepage:
http://people.tcd.ie/nharteDescription:
PUBLISHEDPublisher:
IEEEType of material:
Conference PaperAvailability:
Full text availableKeywords:
HMM, Motion based parsing, Rotation EstimationMetadata
Show full item recordLicences: