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

Author

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

Author_Institution

LaBRI, Univ. de Bordeaux, Talence, France

fYear

2010

fDate

23-26 Aug. 2010

Firstpage

4113

Lastpage

4116

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.

Keywords

feature extraction; hidden Markov models; image colour analysis; image motion analysis; video cameras; video recording; video signal processing; activity recognition; behaviorist scenario; color features; dementia disease patients; hidden Markov model; human activity indexing; localization features; patient monitoring; spatiotemporal features; video recordings; wearable cameras; Biomedical monitoring; Cameras; Hidden Markov models; Histograms; Image color analysis; Motion segmentation; Videos; Bag of Features; HMM; Localization; Monitoring; Video Indexing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2010 20th International Conference on

Conference_Location

Istanbul

ISSN

1051-4651

Print_ISBN

978-1-4244-7542-1

Type

conf

DOI

10.1109/ICPR.2010.999

Filename

5597705