A novel strong tracking finite-difference extended Kalman filter for nonlinear eye tracking

DOI10.1007/s11432-009-0081-1zbMath1182.93116OpenAlexW1992898530MaRDI QIDQ2267101

Jiashu Zhang, Zu-Tao Zhang

Publication date: 26 February 2010

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-009-0081-1

zbMATH Keywords

extended Kalman filter (EKF)eye trackingstrong tracking finite-difference extended Kalman filter (STFDEKF)suboptimal fading factor

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Machine vision and scene understanding (68T45)

Related Items (3)

A generalized mean shift tracking algorithm ⋮ Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase ⋮ Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty

Cites Work

• Extension of Friedland's separate-bias estimation to randomly time-varying bias of nonlinear systems
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