Available on ORBi since
21 April 2016
Poster (Scientific congresses and symposiums)
Improving pose estimation by building dedicated datasets and using orientation
Azrour, Samir  ; Pierard, Sébastien  ; Van Droogenbroeck, Marc 
2016 • Human Motion Analysis for Healthcare Applications
 

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Keywords :
Human pose estimation; Depth camera; orientation
Abstract :
[en] Markerless pose estimation systems are useful for various applications including human- computer interaction, activity recognition, security, gait analysis, and computer-assisted medical interventions. They have attracted much interest since the release of low-cost depth cameras such as Microsoft’s Kinect camera. Shotton et al. and Girshick et al. pioneered tractable methods that infer a full-body pose reconstruction in real-time. Despite this technological breakthrough, the accuracy of human pose estimation from single depth images remains insufficient for some applications. Our work aims at building a simulation environment to create images databases suited for any camera position and improving the mainstream machine learning-based pose estimation algorithms.
Research center :
Intelsig ; Telim
Disciplines :
Electrical & electronics engineering
Author, co-author :
Azrour, Samir ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Pierard, Sébastien ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Van Droogenbroeck, Marc  ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Language :
English
Title :
Improving pose estimation by building dedicated datasets and using orientation
Publication date :
19 May 2016
Event name :
Human Motion Analysis for Healthcare Applications
Event organizer :
IET
Event place :
London, United Kingdom
Event date :
19 May 2016
Audience :
International
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique

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