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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 a 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, s.~575-587. ISBN~978-3-319-25902-4. Dostupné z: https://dx.doi.org/10.1007/978-3-319-25903-1\_{}50.
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