A 3D motion tracking method based on Nonparametric Belief Propagation

Simas, Gisele M.; de, Rodrigo; Botelho, Silvia Silva da Costa

doi:10.1109/icra.2013.6630786

Cited by 1 publication

(2 citation statements)

References 22 publications

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“…In this context, Sigal et al [29], [30] present a probabilistic graphical model to represent and track a human body in a multiple camera environment. Simas et al [6] propose a method based on nonparametric belief propagation which can be applied to track people and other previous unknown moving objects. In the works of Starck and Hilton [31] and De Aguiar et al [32], the employed human body representation model is a mesh-based surface.…”

Section: Related Workmentioning

confidence: 99%

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Kinematic-based Markerless Human Tracking in 3D Probabilistic Occupancy Grids

Goulart

Simas

et al. 2015

Journal of Communication and Information Systems

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Abstract-Markerless human motion tracking can be employed in many applications such as automatic surveillance, motion capture, human-machine interface and activity recognition. This problem has been extensively studied in the computer vision research community in the last years. In this context, the present paper presents an approach for 3D markerless human motion tracking based on a skeletal kinematic model of the human body. This method is applied over a 3D probabilistic occupancy grid of the environment, which is constructed by means of a Bayesian fusion of images from multiple synchronized sensoring cameras. Although the use of kinematic models in 3D human tracking is widely employed, its use over 3D probabilistic occupancy grids still was not vastly investigated in the literature. The experiments were performed using a public dataset with video sequences of people in motion. The results show that the method is capable of dealing adequately with the 3D markerless human motion tracking problem.Index Terms-skeletal kinematic model, 3D probabilistic occupancy grid, 3D markerless human tracking.

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Section: Related Workmentioning

confidence: 99%

“…Although one can find some model-free proposals in the literature [6], many 3D motion tracking methods employ predefined representation models of the targets [7], [8]. Usually, the object appearance model is associated with the object kinematic model that describes the possible movements and valid poses [9].…”

Section: Introductionmentioning

confidence: 99%

Kinematic-based Markerless Human Tracking in 3D Probabilistic Occupancy Grids

Goulart

Simas

et al. 2015

Journal of Communication and Information Systems

View full text Add to dashboard Cite

show abstract

A 3D motion tracking method based on Nonparametric Belief Propagation

Cited by 1 publication

References 22 publications

Kinematic-based Markerless Human Tracking in 3D Probabilistic Occupancy Grids

Kinematic-based Markerless Human Tracking in 3D Probabilistic Occupancy Grids

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