||A Temporal Belief Based Hidden Markov Model for Human Action Recognition in Medical Videos,
AHOUANDJINOU SÈMÈVO ARNAUD ROLAND MARTIAL ,
MOTAMED Cina ,
EZIN C. Eugène ,
||International journal on Pattern Recognition and Image Analysis,
||In the context of human action recognition from video sequences in the medical environment, a
Temporal Beliefbased Hidden Markov Model (HMM) is presented. It allows to cope with human action
temporality and enables to manage the data uncertainty and the knowledge incompleteness. The system of
activity recognition is based on an HMM with explicit state duration. The global interpretation process uses
the framework of the Transferable Belief Model (TBM). It enable us to model and manage the uncertainty
over the video interpretation process. An application is proposed for human action analysis in medical video
sequences provided by a patient monitoring system in the cardiology section in hospital. The proposed rec
ognition method has been assessed on a database of 3000 video images of medical scenes and compared to
the performance of the probabilistic Hidden Markov Models.
||human action recognition, medical videos, indexing, transferable belief model,temporal reasoning.
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