Place Recognition via 3D Modeling for ...
Document type :
Communication dans un congrès avec actes
Title :
Place Recognition via 3D Modeling for Personal Activity Lifelog Using Wearable Camera
Author(s) :
Wannous, Hazem [Auteur]
FOX MIIRE [LIFL]
Dovgalecs, Vladislavs [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Mégret, Rémi [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Daoudi, Mohamed [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]

FOX MIIRE [LIFL]
Dovgalecs, Vladislavs [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Mégret, Rémi [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Daoudi, Mohamed [Auteur]

Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Conference title :
International Conference on Multimedia Modeling
City :
Klangenfurt
Country :
Autriche
Start date of the conference :
2012-01-04
Book title :
International Conference on Multimedia Modeling
Publication date :
2012
English keyword(s) :
Activity Lifelog
3D Place recognition
Wearable Camera
3D Place recognition
Wearable Camera
HAL domain(s) :
Informatique [cs]/Multimédia [cs.MM]
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [en]
In this paper, a method for location recognition in a visual lifelog is presented. Its motivation is the detection of activity related places within an indoor environment to facilitate navigation in the lifelog. It takes ...
Show more >In this paper, a method for location recognition in a visual lifelog is presented. Its motivation is the detection of activity related places within an indoor environment to facilitate navigation in the lifelog. It takes advantage of a camera mounted on the shoulder, which is pri- marily designed for the behavioral analysis of Instrumental Activities of Daily Living (IADL). The proposed approach provides an automatic in- dexing of the content stream, based on the presence in specific 3D places related to instrumental activites. It relies on 3D models of the places of interest that are built thanks to a lightweight semi-supervised approach. Performance evaluation on real data show the potential of this approach compared to 2D only recognition.Show less >
Show more >In this paper, a method for location recognition in a visual lifelog is presented. Its motivation is the detection of activity related places within an indoor environment to facilitate navigation in the lifelog. It takes advantage of a camera mounted on the shoulder, which is pri- marily designed for the behavioral analysis of Instrumental Activities of Daily Living (IADL). The proposed approach provides an automatic in- dexing of the content stream, based on the presence in specific 3D places related to instrumental activites. It relies on 3D models of the places of interest that are built thanks to a lightweight semi-supervised approach. Performance evaluation on real data show the potential of this approach compared to 2D only recognition.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
11 Pages
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