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

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.

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Svebor Karaman, Jenny Benois-Pineau, Remi Megret, Vladislavs Dovgalecs, Yann Gaëstel, Jean-Francois Dartigues
• Keywords: Behaviorist Scenario, Computer Vision, Dimensional Collected Data, Hidden Markov Model, ICPR 2010