Automatic techniques for 3D reconstruction of critical workplace body postures from range imaging data |
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| Institution: | 1. Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom;2. University of Houston, Houston, Texas, U.S.;3. China Academy of Art, China;4. University of Bradford, United Kingdom;5. Zhejiang University, China;6. Southwest Jiaotong University, China |
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| Abstract: | The paper shows techniques for the determination of structured motion parameters from range camera image sequences. The core contribution of the work presented here is the development of an integrated least squares 3D tracking approach based on amplitude and range image sequences to calculate dense 3D motion vector fields. Geometric primitives of a human body model are fitted to time series of range camera point clouds using these vector fields as additional information. Body poses and motion information for individual body parts are derived from the model fit. On the basis of these pose and motion parameters, critical body postures are detected. The primary aim of the study is to automate ergonomic studies for risk assessments regulated by law, identifying harmful movements and awkward body postures in a workplace. |
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| Keywords: | Range camera Least squares tracking Potential energy model surface fit Human motion CAD manikin Awkward body postures |
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