2012
DOI: 10.1364/ao.51.005686
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Skeleton body pose tracking from efficient three-dimensional motion estimation and volumetric reconstruction

Abstract: We address the problem of body pose tracking in a scenario of multiple camera setup with the aim of recovering body motion robustly and accurately. The tracking is performed on three-dimensional (3D) space using 3D data, including colored volume and 3D optical flow, which are reconstructed at each time step. We introduce strategies to compute multiple camera-based 3D optical flow and have attained efficient and robust 3D motion estimation. Body pose estimation starts with a prediction using 3D optical flow and… Show more

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Cited by 2 publications
(2 citation statements)
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“…Experiments are conducted on the two real sequences to evaluate the proposed CoDEF algorithm. We compare CoDEF with two algorithms: another improved PF algorithm with DE operators (DEPF) [46] and a hybrid particle-based search (HPS) algorithm that derives from PSO and DE [33]. Both DEPF and HPS track in the hand-object joint pose space.…”
Section: A Experiments On Real Imagesmentioning
confidence: 99%
See 1 more Smart Citation
“…Experiments are conducted on the two real sequences to evaluate the proposed CoDEF algorithm. We compare CoDEF with two algorithms: another improved PF algorithm with DE operators (DEPF) [46] and a hybrid particle-based search (HPS) algorithm that derives from PSO and DE [33]. Both DEPF and HPS track in the hand-object joint pose space.…”
Section: A Experiments On Real Imagesmentioning
confidence: 99%
“…They deduced the object pose according to the hand pose and the hand-object interaction model. Zhang et al [33] performed a hybrid particle-based search that derives from PSO and differential evolution (DE) to track human body poses. They used a voxel model for the human body.…”
Section: Introductionmentioning
confidence: 99%