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arXiv · 1007.4134

Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases

Svebor Karaman·Jenny Benois-Pineau·Rémi Mégret·Vladislavs Dovgalecs·Jean-François Dartigues·Yann Gaëstel
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Abstract

Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitoring of patients with dementia diseases by wearable cameras. We define a structural model of video recordings based on a Hidden Markov Model. New spatio-temporal features, color features and localization features are proposed as observations. First results in recognition of activities are promising.

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Svebor Karaman, Jenny Benois-Pineau, Rémi Mégret, Vladislavs Dovgalecs, Jean-François Dartigues, Yann Gaëstel. 2010-07-23. Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases. https://doi.org/10.1109/icpr.2010.999

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