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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/393

Authors: L. N. Abdullah
Shahrul Azman Mohd Noah
Tengku Mohd Tengku Sembok
Khairuddin Omar
Keywords: Audio-visual
Hidden Markov model
Human action
Issue Date: 2007
Abstract: In this paper, we directly modelled the hierarchy and shared structures of human behaviours, and we present a framework of the Hidden Markov model based application for the problem of activity recognition. It is crucial to exploit and to robustly model and recognize complex human activities. Our goal is to exploit human motion to perform action recognition. Towards the end, we introduced the use of the Hidden Markov model, a rich stochastic model that has been recently extended to handle structures, for representing and recognizing simple actions. We proposed a framework for recognizing actions by measuring image and action-based information from video with the following characteristics: feature extraction; the method deals with both visual and auditory information, and captures both spatial and temporal characteristics; and the extracted features are natural, in the sense that they are closely related to the human perceptual processing. Our effort was to implementing idea of action identification by extracting syntactic properties of a video such as edge feature extraction, colour distribution, audio and motion vectors. In this paper, we present a two layers hierarchical module for action recognition. The first one performs supervised learning to recognize individual actions of participants using low-level audio-visual (AV) features. The second layer models actions, using the output of the first layer as observations, and producing a temporal segmentation of an action into group action segments. Both layers use Hidden Markov model-based approaches for action recognition and clustering, respectively.
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-5 - T5-11
URI: http://dspace.fsktm.um.edu.my/handle/1812/393
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

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