Measuring human movement for biomechanical applications using markerless motion capture

Lars Mündermann; Stefano Corazza; Ajit M. Chaudhari; Thomas P. Andriacchi; Aravind Sundaresan; Rama Chellappa

doi:10.1117/12.650854

27 January 2006 Measuring human movement for biomechanical applications using markerless motion capture

Lars Mündermann, Stefano Corazza, Ajit M. Chaudhari, Thomas P. Andriacchi, Aravind Sundaresan, Rama Chellappa

Proceedings Volume 6056, Three-Dimensional Image Capture and Applications VII; 60560R (2006) https://doi.org/10.1117/12.650854
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Modern biomechanical and clinical applications require the accurate capture of normal and pathological human movement without the artifacts associated with standard marker-based motion capture techniques such as soft tissue artifacts and the risk of artificial stimulus of taped-on or strapped-on markers. In this study, the need for new markerless human motion capture methods is discussed in view of biomechanical applications. Three different approaches for estimating human movement from multiple image sequences were explored. The first two approaches tracked a 3D articulated model in 3D representations constructed from the image sequences, while the third approach tracked a 3D articulated model in multiple 2D image planes. The three methods are systematically evaluated and results for real data are presented. The role of choosing appropriate technical equipment and algorithms for accurate markerless motion capture is critical. The implementation of this new methodology offers the promise for simple, time-efficient, and potentially more meaningful assessments of human movement in research and clinical practice.

Citation Download Citation

Lars Mündermann, Stefano Corazza, Ajit M. Chaudhari, Thomas P. Andriacchi, Aravind Sundaresan, and Rama Chellappa "Measuring human movement for biomechanical applications using markerless motion capture", Proc. SPIE 6056, Three-Dimensional Image Capture and Applications VII, 60560R (27 January 2006); https://doi.org/10.1117/12.650854

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