Application of extended Kalman filter for improving the accuracy and smoothness of Kinect skeleton-joint estimates

DOI10.1007/s10665-014-9689-2zbMath1359.93494OpenAlexW2111067675WikidataQ115732702 ScholiaQ115732702MaRDI QIDQ521189

Jody Shu, Fumio Hamano, John E. Angus

Publication date: 7 April 2017

Published in: Journal of Engineering Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10665-014-9689-2

zbMATH Keywords

pattern recognitionsensorsmachine visionsound-enhanced tracking

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Machine vision and scene understanding (68T45)

Uses Software

• astsa
• Kinect

Cites Work

• Unnamed Item
• AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM
• A Fresh Look at the Kalman Filter
• Kalman Filtering
• Random forests

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