Detailed Information on Publication Record
2015
Improving Kinect-Skeleton Estimation
VALČÍK, Jakub, Jan SEDMIDUBSKÝ and Pavel ZEZULABasic information
Original name
Improving Kinect-Skeleton Estimation
Authors
VALČÍK, Jakub (203 Czech Republic, belonging to the institution), Jan SEDMIDUBSKÝ (203 Czech Republic, guarantor, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
Switzerland, Advanced Concepts for Intelligent Vision Systems (ACIVS 2015), LNCS 9386, p. 575-587, 13 pp. 2015
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/15:00080933
Organization unit
Faculty of Informatics
ISBN
978-3-319-25902-4
ISSN
UT WoS
000374794500050
Keywords in English
Kinect v2; skeleton proportions; bone length estimation; joint accuracy
Tags
International impact, Reviewed
Změněno: 31/3/2016 13:26, doc. RNDr. Jan Sedmidubský, Ph.D.
Abstract
V originále
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.
Links
| GBP103/12/G084, research and development project |
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| MUNI/A/1206/2014, interní kód MU |
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