Human Body Model Acquisition and Tracking Using Voxel Data

By Ivana Mikic, Mohan Manubhai Trivedi, Edward Hunter, Pamela C. Cosman. International Journal of Computer Vision, 2003

373 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/30cb6ec360d28c3982a8e9c1c4f62bce4a84e379

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

In Environmental Engineering

Citations in the corpus

Vision-based human motion analysis: An overview (2007, background): “Other factors that influence the construction of the likelihood function are the camera parameters (Section 2.3) and environment settings (Section 2.4).”
Advances in View-Invariant Human Motion Analysis: A Review (2010, background): “al [64], [65] that integrates automatic acquisition of a human body model with motion tracking from multiple synchronized image sequence s.”
Multi-view 3D Human Pose Estimation in Complex Environment (2011, methodology): “…resulting from the stationary background, together with the many cameras used (> 5), allows to recover pose by Shapefrom-Silhouette techniques (Cheung et al. 2005a, 2005b; Corazza et al. 2010; Kehl and Gool 2006; Mikic et al. 2003; Starck and Hilton 2003; Sundaresan and Chellappa 2009).”
Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey (2008, methodology): “Background modeling is often used in different applications to model the background and then detect the moving objects in the scene like in video surveillance [2, 3], optical motion capture [4, 5-6] and multimedia [7, 8-10].”
Survey on Emotional Body Gesture Recognition (2018, methodology): “very frame, i.e. the position, shape and conﬁguration of the body are found such that they are consistent with the position and conﬁguration of the body at the beginning of the motion capture process [58]. One way to facilitate the tracking of the human body pose is to require subjects to wear speci”
Recent Advanced Statistical Background Modeling for Foreground Detection - A Systematic Survey (2011, background): “Different applications such as video surveillance [1], optical motion capture [2-4] and multimedia [5-7] n eed firstly to model the background and then to detect the moving objects.”
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions (2019, methodology): “Because it is impossible to have a rigourous 3D reconstruction of a human model, a 3D voxel approximation [249][250] obtained by shape-from-silhouette (also called visual hull) is computed with the silhouettes obtained from each camera.”
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012, methodology): “In indirect model use techniques, in turn, methods that use direct reconstruction of both model shape and motion from the visual-hull are revealed [23, 70].”
Detailed Human Shape and Pose from Images (2007, methodology): “While ﬂex-ible, such non-parametric representations require further processing for many applications such as joint angle extraction or graphics animation.”