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

doi:10.1080/21681163.2013.834800

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 Citationer (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.

Originalsprog	Engelsk
Tidsskrift	Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Vol/bind	2
Udgave nummer	1
Sider (fra-til)	46-65
Antal sider	20
ISSN	2168-1163
DOI	https://doi.org/10.1080/21681163.2013.834800
Status	Udgivet - jan. 2014

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10.1080/21681163.2013.834800

Citationsformater

Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview. / Yang, Sylvia; Christiansen, Martin S.; Larsen, Peter Kastmand et al.
I: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Bind 2, Nr. 1, 01.2014, s. 46-65.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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AU - Moeslund, Thomas B.

AU - Simonsen, Erik Bruun

AU - Lynnerup, Niels

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

Abstract

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