Model-Based Motion Tracking of Infants
Abstract
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.
Cite
Text
Olsen et al. "Model-Based Motion Tracking of Infants." European Conference on Computer Vision Workshops, 2014. doi:10.1007/978-3-319-16199-0_47Markdown
[Olsen et al. "Model-Based Motion Tracking of Infants." European Conference on Computer Vision Workshops, 2014.](https://mlanthology.org/eccvw/2014/olsen2014eccvw-modelbased/) doi:10.1007/978-3-319-16199-0_47BibTeX
@inproceedings{olsen2014eccvw-modelbased,
title = {{Model-Based Motion Tracking of Infants}},
author = {Olsen, Mikkel Damgaard and Herskind, Anna and Nielsen, Jens Bo and Paulsen, Rasmus Reinhold},
booktitle = {European Conference on Computer Vision Workshops},
year = {2014},
pages = {673-685},
doi = {10.1007/978-3-319-16199-0_47},
url = {https://mlanthology.org/eccvw/2014/olsen2014eccvw-modelbased/}
}