A posture optimisation algorithm for model-based motion capture of movement sequences

Zakotnik J, Matheson T, Dürr V (2004)
Journal of Neuroscience Methods 135(1-2): 43-54.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ;
Abstract / Bemerkung
We have developed and evaluated a new optical motion capture approach that is suitable for a wide range of studies in neuroethology and motor control. Based on the stochastic search algorithm of Simulated Annealing, it utilizes a kinematic body model that includes joint angle constraints to reconstruct posture from an arbitrary number of views. Rather than tracking marker trajectories in time, the algorithm minimizes an error function that compares predicted model projections to the recorded views. Thus, each video-frame is analysed independently from other frames, enabling the system to recover from incorrectly analysed postures. The system works with standard computer and video equipment. Its accuracy is evaluated using videos of animated locust leg movements, recorded by two orthogonal views. The resulting joint angle RMS errors range between 0.7ø and 4.9ø, limited by the pixel resolution of the digital video. 3D-movement reconstruction is possible even from a single view. In a real experimental application, stick insect walking sequences are analysed with leg joint angle deviations between 0.5ø and 3.0ø. This robust and accurate performance is reached in spite of marker fusions and occlusions, simply by exploiting the natural contraints imposed by a kinematic chain and a known experimental setup.
Erscheinungsjahr
Zeitschriftentitel
Journal of Neuroscience Methods
Band
135
Ausgabe
1-2
Seite(n)
43-54
ISSN
PUB-ID

Zitieren

Zakotnik J, Matheson T, Dürr V. A posture optimisation algorithm for model-based motion capture of movement sequences. Journal of Neuroscience Methods. 2004;135(1-2):43-54.
Zakotnik, J., Matheson, T., & Dürr, V. (2004). A posture optimisation algorithm for model-based motion capture of movement sequences. Journal of Neuroscience Methods, 135(1-2), 43-54. doi:10.1016/j.neumeth.2003.11.013
Zakotnik, J., Matheson, T., and Dürr, V. (2004). A posture optimisation algorithm for model-based motion capture of movement sequences. Journal of Neuroscience Methods 135, 43-54.
Zakotnik, J., Matheson, T., & Dürr, V., 2004. A posture optimisation algorithm for model-based motion capture of movement sequences. Journal of Neuroscience Methods, 135(1-2), p 43-54.
J. Zakotnik, T. Matheson, and V. Dürr, “A posture optimisation algorithm for model-based motion capture of movement sequences”, Journal of Neuroscience Methods, vol. 135, 2004, pp. 43-54.
Zakotnik, J., Matheson, T., Dürr, V.: A posture optimisation algorithm for model-based motion capture of movement sequences. Journal of Neuroscience Methods. 135, 43-54 (2004).
Zakotnik, Jure, Matheson, Tom, and Dürr, Volker. “A posture optimisation algorithm for model-based motion capture of movement sequences”. Journal of Neuroscience Methods 135.1-2 (2004): 43-54.

11 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Motor inhibition affects the speed but not accuracy of aimed limb movements in an insect.
Calas-List D, Clare AJ, Komissarova A, Nielsen TA, Matheson T., J Neurosci 34(22), 2014
PMID: 24872556
A system for automated tracking of motor components in neurophysiological research.
Palmér T, Tamtè M, Halje P, Enqvist O, Petersson P., J Neurosci Methods 205(2), 2012
PMID: 22306061
Active tactile sampling by an insect in a step-climbing paradigm.
Krause AF, Dürr V., Front Behav Neurosci 6(), 2012
PMID: 22754513
Active tactile exploration for adaptive locomotion in the stick insect.
Schütz C, Dürr V., Philos Trans R Soc Lond B Biol Sci 366(1581), 2011
PMID: 21969681
Kinematic analysis of over-determinate biomechanical systems.
Andersen MS, Damsgaard M, Rasmussen J., Comput Methods Biomech Biomed Engin 12(4), 2009
PMID: 18949590
Motor control of aimed limb movements in an insect.
Page KL, Zakotnik J, Dürr V, Matheson T., J Neurophysiol 99(2), 2008
PMID: 18032564
Slanted joint axes of the stick insect antenna: an adaptation to tactile acuity.
Mujagic S, Krause AF, Dürr V., Naturwissenschaften 94(4), 2007
PMID: 17180615
Analyzing octopus movements using three-dimensional reconstruction.
Yekutieli Y, Mitelman R, Hochner B, Flash T., J Neurophysiol 98(3), 2007
PMID: 17625060
Quantitative characterization and classification of leech behavior.
Mazzoni A, Garcia-Perez E, Zoccolan D, Graziosi S, Torre V., J Neurophysiol 93(1), 2005
PMID: 15317841

32 References

Daten bereitgestellt von Europe PubMed Central.


AUTHOR UNKNOWN, 0
Human motion analysis: a review
Aggarwal, Computer Vision and Image Understanding 73(3), 1999

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Robust recovery of human motion from video using Kalman filters and virtual humans.
Cerveri P, Pedotti A, Ferrigno G., Hum Mov Sci 22(3), 2003
PMID: 12967764
Movement of joint angles in the legs of a walking insect, Carausius morosus
Cruse, J. Ins. Physiol. 41(), 1995

AUTHOR UNKNOWN, 0
A single-camera method for three-dimensional video imaging.
Eian J, Poppele RE., J. Neurosci. Methods 120(1), 2002
PMID: 12351208
What can two images tell us about a third one?
Faugeras, Int. J. Comput. Vision. 18(), 1994

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Using skeleton-based tracking to increase the reliability of optical motion capture.
Herda L, Fua P, Plankers R, Boulic R, Thalmann D., Hum Mov Sci 20(3), 2001
PMID: 11517674

AUTHOR UNKNOWN, 0
Optimization by simulated annealing.
Kirkpatrick S, Gelatt CD Jr, Vecchi MP., Science 220(4598), 1983
PMID: 17813860

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Body modeling and model-based tracking for neuroethology.
MacIver MA, Nelson ME., J. Neurosci. Methods 95(2), 2000
PMID: 10752484

AUTHOR UNKNOWN, 0
Model-based tracking of complex articulated objects
Nickels, IEEE Trans. Robot. Automat. 17(1), 2001

AUTHOR UNKNOWN, 0
Model-based image analysis of human motion using constraint propagation
O’Rourke, IEEE Trans. Pattern Recognit. Machine Intelligence 2(6), 1980
The measurement of human motion: a comparison of commercially available systems
Richards, Hum. Mov. Sci. 18(), 1999

AUTHOR UNKNOWN, 0
Three-dimensional object reconstruction from two-dimensional images
Rockwood, Computer-Aided Design 29(4), 1997

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 15020088
PubMed | Europe PMC

Suchen in

Google Scholar