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

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Karaman, Svebor | Benois-Pineau, Jenny | Mégret, Rémi | Dovgalecs, Vladislavs | Dartigues, Jean-François | Gaëstel, Yann

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International audience. 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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