A fuzzy IMM-UKF algorithm for highly maneuvering multi-target visual-based tracking

In this paper, we present an efficient filtering algorithm to perform accurate estimation in jump Markov nonlinear systems, in case of multi-target tracking. With this paper, we aim to contribute in solving the problem of model-based body motion estimation by using data coming from visual sensors. T...

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Bibliographische Detailangaben

Hauptverfasser:	Djouadi, M.S., Morsly, Y., Berkani, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cameras Coordinate measuring machines data association Equations Estimation Filtering algorithms Kalman filtering Motion estimation Motion measurement Multi-Target Tracking Nonlinear systems Robot kinematics Target tracking Time measurement Visual servoing
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