The Performance of Open-Source Pose Estimation Algorithms During Walking, Running and Jumping

Laurie Needham; Murray Evans; Darren Cosker; Logan Wade; Polly McGuigan; James Bilzon; Steffi Colyer

The Performance of Open-Source Pose Estimation Algorithms During Walking, Running and Jumping

Laurie Needham, Murray Evans, Darren Cosker, Logan Wade, Polly McGuigan, James Bilzon, Steffi Colyer

Research output: Contribution to conference › Abstract › peer-review

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Abstract

Several deep learning-based pose estimation methods (OpenPose, AlphaPose and DeepLabCut) were bench-marked against full-body marker-based motion capture. Joint centre locations between systems were evaluated during walking, running and jumping.

Original language	English
Publication status	Published - Jul 2021
Event	Congress of the International Society of Biomechanics - Duration: 25 Jul 2021 → 29 Jul 2021 Conference number: XXVIII

Conference

Conference	Congress of the International Society of Biomechanics
Abbreviated title	ISB
Period	25/07/21 → 29/07/21

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ISB2021_PoseEst_AbstractFinal published version, 211 KBLicence: Unspecified

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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Lutteroth, C., McGuigan, P., O'Neill, E., Petrini, K., Proulx, M. & Yang, Y.
Engineering and Physical Sciences Research Council
1/11/20 → 31/10/25
Project: Research council
Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., McGuigan, P., O'Neill, E., Richardt, C., Salo, A., Seminati, E., Tabor, A. & Yang, Y.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council

Cite this

@conference{77d6d7cd9f2b463cb3a438ea4f47ebd4,

title = "The Performance of Open-Source Pose Estimation Algorithms During Walking, Running and Jumping",

abstract = "Several deep learning-based pose estimation methods (OpenPose, AlphaPose and DeepLabCut) were bench-marked against full-body marker-based motion capture. Joint centre locations between systems were evaluated during walking, running and jumping. ",

author = "Laurie Needham and Murray Evans and Darren Cosker and Logan Wade and Polly McGuigan and James Bilzon and Steffi Colyer",

year = "2021",

month = jul,

language = "English",

note = "Congress of the International Society of Biomechanics, ISB ; Conference date: 25-07-2021 Through 29-07-2021",

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TY - CONF

T1 - The Performance of Open-Source Pose Estimation Algorithms During Walking, Running and Jumping

AU - Needham, Laurie

AU - Evans, Murray

AU - Cosker, Darren

AU - Wade, Logan

AU - McGuigan, Polly

AU - Bilzon, James

AU - Colyer, Steffi

N1 - Conference code: XXVIII

PY - 2021/7

Y1 - 2021/7

N2 - Several deep learning-based pose estimation methods (OpenPose, AlphaPose and DeepLabCut) were bench-marked against full-body marker-based motion capture. Joint centre locations between systems were evaluated during walking, running and jumping.

AB - Several deep learning-based pose estimation methods (OpenPose, AlphaPose and DeepLabCut) were bench-marked against full-body marker-based motion capture. Joint centre locations between systems were evaluated during walking, running and jumping.

M3 - Abstract

T2 - Congress of the International Society of Biomechanics

Y2 - 25 July 2021 through 29 July 2021

ER -

The Performance of Open-Source Pose Estimation Algorithms During Walking, Running and Jumping

Abstract

Conference

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Projects

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)

Cite this