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

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Standard

Markerless motion capture systems for tracking of persons in forensic biomechanics : an overview. / Yang, Sylvia; Christiansen, Martin S.; Larsen, Peter Kastmand; Alkjær, Tine; Moeslund, Thomas B.; Simonsen, Erik Bruun; Lynnerup, Niels.

I: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Bind 2, Nr. 1, 2014, s. 46-65.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Yang, S, Christiansen, MS, Larsen, PK, Alkjær, T, Moeslund, TB, Simonsen, EB & Lynnerup, N 2014, 'Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview', Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, bind 2, nr. 1, s. 46-65. https://doi.org/10.1080/21681163.2013.834800

APA

Yang, S., Christiansen, M. S., Larsen, P. K., Alkjær, T., Moeslund, T. B., Simonsen, E. B., & Lynnerup, N. (2014). Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2(1), 46-65. https://doi.org/10.1080/21681163.2013.834800

Vancouver

Yang S, Christiansen MS, Larsen PK, Alkjær T, Moeslund TB, Simonsen EB o.a. Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2014;2(1):46-65. https://doi.org/10.1080/21681163.2013.834800

Author

Yang, Sylvia ; Christiansen, Martin S. ; Larsen, Peter Kastmand ; Alkjær, Tine ; Moeslund, Thomas B. ; Simonsen, Erik Bruun ; Lynnerup, Niels. / Markerless motion capture systems for tracking of persons in forensic biomechanics : an overview. I: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2014 ; Bind 2, Nr. 1. s. 46-65.

Bibtex

@article{522873a02955423599ec3f5a581a3df9,
title = "Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview",
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.",
author = "Sylvia Yang and Christiansen, {Martin S.} and Larsen, {Peter Kastmand} and Tine Alkj{\ae}r and Moeslund, {Thomas B.} and Simonsen, {Erik Bruun} and Niels Lynnerup",
year = "2014",
doi = "10.1080/21681163.2013.834800",
language = "English",
volume = "2",
pages = "46--65",
journal = "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization",
issn = "2168-1163",
publisher = "Taylor & Francis",
number = "1",

}

RIS

TY - JOUR

T1 - Markerless motion capture systems for tracking of persons in forensic biomechanics

T2 - an overview

AU - Yang, Sylvia

AU - Christiansen, Martin S.

AU - Larsen, Peter Kastmand

AU - Alkjær, Tine

AU - Moeslund, Thomas B.

AU - Simonsen, Erik Bruun

AU - Lynnerup, Niels

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.1080/21681163.2013.834800

DO - 10.1080/21681163.2013.834800

M3 - Journal article

VL - 2

SP - 46

EP - 65

JO - Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

JF - Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

SN - 2168-1163

IS - 1

ER -

ID: 122612282