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@inproceedings{1306954,
author = {Valčík, Jakub and Sedmidubský, Jan and Zezula, Pavel},
address = {Switzerland},
booktitle = {Advanced Concepts for Intelligent Vision Systems (ACIVS 2015), LNCS 9386},
doi = {http://dx.doi.org/10.1007/978-3-319-25903-1_50},
editor = {S. Battiato et al.},
keywords = {Kinect v2; skeleton proportions; bone length estimation; joint accuracy},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Switzerland},
isbn = {978-3-319-25902-4},
pages = {575-587},
publisher = {Springer},
title = {Improving Kinect-Skeleton Estimation},
year = {2015}
}
TY - JOUR
ID - 1306954
AU - Valčík, Jakub - Sedmidubský, Jan - Zezula, Pavel
PY - 2015
TI - Improving Kinect-Skeleton Estimation
PB - Springer
CY - Switzerland
SN - 9783319259024
KW - Kinect v2
KW - skeleton proportions
KW - bone length estimation
KW - joint accuracy
N2 - Capturing human movement activities through various sensor technologies is becoming more and more important in entertainment, film industry, military, healthcare or sports. The Microsoft Kinect is an example of low-cost capturing technology that enables to digitize human movement into a 3D motion representation. However, the accuracy of this representation is often underestimated which results in decreasing effectiveness of Kinect applications. In this paper, we propose advanced post-processing methods to improve the accuracy of the Kinect skeleton estimation. By evaluating these methods on real-life data we decrease the error in accuracy of measured lengths of bones more than two times.
ER -
VALČÍK, Jakub, Jan SEDMIDUBSKÝ and Pavel ZEZULA. Improving Kinect-Skeleton Estimation. In S. Battiato et al. \textit{Advanced Concepts for Intelligent Vision Systems (ACIVS 2015), LNCS 9386}. Switzerland: Springer, 2015, p.~575-587. ISBN~978-3-319-25902-4. Available from: https://dx.doi.org/10.1007/978-3-319-25903-1\_{}50.
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