Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview

Sylvia Yang, Martin S. Christiansen, Peter Kastmand Larsen, Tine Alkjær, Thomas B. Moeslund, Erik Bruun Simonsen, Niels Lynnerup

12 Citations (Scopus)

Abstract

Markerless motion capture is a pronounced topic in computer vision. In forensic science, markerless motion capture can be an important tool for identification through gait analysis. Recent studies of gait analysis in forensic science have shown that individuals can be identified when analysing the postures from a sagittal viewpoint. Although integrating all three dimensions (3D) might improve the results considerably. The purpose of this paper is to give an overview of the 3D multi-view markerless motion capture systems which could be applicable for 3D gait analysis. This paper contains presentation of the state of the art in obtaining 3D poses from multi-camera configurations and discussion of the cons and pros of the approaches.
Original languageEnglish
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Volume2
Issue number1
Pages (from-to)46-65
Number of pages20
ISSN2168-1163
DOIs
Publication statusPublished - Jan 2014

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