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3D Human Pose Estimation with a Catadioptric Sensor in Unconstrained Environments Using an Annealed Particle Filter

Article dans une revue avec comité de lecture
Auteur
ABABSA, Fakhreddine
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
HADJ-ABDELKADER, Hicham
1042359 Informatique, BioInformatique, Systèmes Complexes [IBISC]
BOUI, Marouane
1042359 Informatique, BioInformatique, Systèmes Complexes [IBISC]

URI
http://hdl.handle.net/10985/19775
DOI
10.3390/s20236985
Date
2020
Journal
Sensors

Résumé

The purpose of this paper is to investigate the problem of 3D human tracking in complex environments using a particle filter with images captured by a catadioptric vision system. This issue has been widely studied in the literature on RGB images acquired from conventional perspective cameras, while omnidirectional images have seldom been used and published research works in this field remains limited. In this study, the Riemannian varieties was considered in order to compute the gradient on spherical images and generate a robust descriptor used along with an SVM classifier for human detection. Original likelihood functions associated with the particle filter are proposed, using both geodesic distances and overlapping regions between the silhouette detected in the images and the projected 3D human model. Our approach was experimentally evaluated on real data and showed favorable results compared to machine learning based techniques about the 3D pose accuracy. Thus, the Root Mean Square Error (RMSE) was measured by comparing estimated 3D poses and truth data, resulting in a mean error of 0.065 m when walking action was applied.

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  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

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  • 3D Human Tracking with Catadioptric Omnidirectional Camera 
    Communication avec acte
    ABABSA, Fakhreddine; HADJ-ABDELKADER, Hicham; BOUI, Marouane (ACM Press, 2019)
    This paper deals with the problem of 3D human tracking in catadioptric images using particle-filtering framework. While traditional perspective images are well exploited, only a few methods have been developed for catadioptric ...
  • GMCAD: an original Synthetic Dataset of 2D Designs along their Geometrical and Mechanical Conditions 
    Article dans une revue avec comité de lecture
    ALMASRI, Waad; BETTEBGHOR, Dimitri; ADJED, Faouzi; ABABSA, Fakhreddine; ccDANGLADE, Florence (Elsevier BV, 2022)
    We build an original synthetic dataset of 2D mechanical designs alongside their mechanical and geometric constraints, GMCAD. Such a dataset allows training Deep Learning (DL) models for Design for Additive Manufacturing ...
  • Methodology for the Field Evaluation of the Impact of Augmented Reality Tools for Maintenance Workers in the Aeronautic Industry 
    Article dans une revue avec comité de lecture
    LOIZEAU, Quentin; ABABSA, Fakhreddine; ccMERIENNE, Frédéric; ccDANGLADE, Florence (Frontiers, 2021)
    Augmented Reality (AR) enhances the comprehension of complex situations by making the handling of contextual information easier. Maintenance activities in aeronautics consist of complex tasks carried out on various ...
  • Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion 
    Communication avec acte
    ALMASRI, Waad; BETTEBGHOR, Dimitri; ABABSA, Fakhreddine; ADJED, Faouzi; ccDANGLADE, Florence (Springer International Publishing, 2021)
    Topology optimization is a powerful tool for producing an optimal free-form design from input mechanical constraints. However, in its traditional-density-based approach, it does not feature a proper definition for the ...
  • Combining HoloLens and Leap-Motion for Free Hand-Based 3D Interaction in MR Environments 
    Communication avec acte
    ABABSA, Fakhreddine; HE, Junhui; ccCHARDONNET, Jean-Rémy (Springer International Publishing, 2020)
    The ability to interact with virtual objects using gestures would allow users to improve their experience in Mixed Reality (MR) environments, especially when they use AR headsets. Today, MR head-mounted displays like the ...

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