Model-based motion tracking of infants
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Model-based motion tracking of infants. / Olsen, Mikkel Damgaard; Herskind, Anna; Nielsen, Jens Bo; Paulsen, Rasmus Reinhold.
Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014. Proceedings, Part III. ed. / Lourdes Agapito; Michael M. Bronstein; Carsten Rother. Zurich : Springer, 2015. p. 673-685 (Lecture notes in computer science, Vol. 8927).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Model-based motion tracking of infants
AU - Olsen, Mikkel Damgaard
AU - Herskind, Anna
AU - Nielsen, Jens Bo
AU - Paulsen, Rasmus Reinhold
N1 - CURIS 2015 NEXS 453
PY - 2015
Y1 - 2015
N2 - Even though motion tracking is a widely used technique to analyze and measure human movements, only a few studies focus on motion tracking of infants. In recent years, a number of studies have emerged focusing on analyzing the motion pattern of infants, using computer vision. Most of these studies are based on 2D images, but few are based on 3D information. In this paper, we present a model-based approach for tracking infants in 3D. The study extends a novel study on graph-based motion tracking of infants and we show that the extension improves the tracking results. A 3D model is constructed that resembles the body surface of an infant, where the model is based on simple geometric shapes and a hierarchical skeleton model.
AB - Even though motion tracking is a widely used technique to analyze and measure human movements, only a few studies focus on motion tracking of infants. In recent years, a number of studies have emerged focusing on analyzing the motion pattern of infants, using computer vision. Most of these studies are based on 2D images, but few are based on 3D information. In this paper, we present a model-based approach for tracking infants in 3D. The study extends a novel study on graph-based motion tracking of infants and we show that the extension improves the tracking results. A 3D model is constructed that resembles the body surface of an infant, where the model is based on simple geometric shapes and a hierarchical skeleton model.
U2 - 10.1007/978-3-319-16199-0_47
DO - 10.1007/978-3-319-16199-0_47
M3 - Article in proceedings
SN - 978-3-319-16198-3
T3 - Lecture notes in computer science
SP - 673
EP - 685
BT - Computer Vision - ECCV 2014 Workshops
A2 - Agapito, Lourdes
A2 - Bronstein, Michael M.
A2 - Rother, Carsten
PB - Springer
CY - Zurich
ER -
ID: 162725210