143 citations
- Institut Polytechnique de BordeauxFR31 papers
- Université de BordeauxFR29 papers
- Centre National de la Recherche ScientifiqueFR25 papers
- Laboratoire Bordelais de Recherche en InformatiqueFR10 papers
- Institut de Mathématiques de BordeauxFR7 papers
- Laboratoire d'Informatique Gaspard-MongeFR5 papers
- GIPSA-LabFR4 papers
- Laboratoire des signaux et systèmesFR4 papers
- Université de ToulouseFR4 papers
- Centre Tecnologic de Telecomunicacions de CatalunyaES3 papers
- Grain Inspection, Packers and Stockyards AdministrationUS3 papers
- Institut de Recherche en Informatique de ToulouseFR3 papers
5 papers · 1 filter
Hierarchical Hidden Markov Model in Detecting Activities of Daily Living in Wearable Videos for Studies of Dementia
Svebor Karaman, Jenny Benois-Pineau, Vladislavs Dovgalecs +5
This paper presents a method for indexing activities of daily living in videos obtained from wearable cameras. In the context of dementia diagnosis by doctors, the videos are recor…
Multi-Layer Local Graph Words for Object Recognition
Svebor Karaman, Jenny Benois-Pineau, Rémi Mégret +1
In this paper, we propose a new multi-layer structural approach for the task of object based image retrieval. In our work we tackle the problem of structural organization of local…
Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics
Svebor Karaman, Jenny Benois-Pineau, Jean-François Dartigues +3
This paper presents a method for indexing human ac- tivities in videos captured from a wearable camera being worn by patients, for studies of progression of the dementia diseases.…
Nested Graph Words for Object Recognition
Svebor Karaman, Jenny Benois-Pineau, Rémi Mégret
In this paper, we propose a new, scalable approach for the task of object based image search or object recognition. Despite the very large literature existing on the scalability is…
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Svebor Karaman, Jenny Benois-Pineau, Rémi Mégret +3
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 monitorin…