Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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TY - CHAP
T1 - Extended Object Tracking Using Mixture Kalman Filtering.
AU - Angelova, D
AU - Mihaylova, L
PY - 2007
Y1 - 2007
N2 - This paper addresses the problem of tracking extended objects. Examples of extended objects are ships and a convoy of vehicles. Such kind of objects have particularities which pose challenges in front of methods considering the extended object as a single point. Measurements of the object extent can be used for estimating size parameters of the object, whose shape is modeled by an ellipse. This paper proposes a solution to the extended object tracking problem by mixture Kalman filtering. The system model is formulated in a conditional dynamic linear (CDL) form. Based on the specifics of the task, two latent indicator variables are proposed, characterising the mode of maneuvering and size type, respectively. The developed Mixture Kalman filter is validated and evaluated by computer simulation.
AB - This paper addresses the problem of tracking extended objects. Examples of extended objects are ships and a convoy of vehicles. Such kind of objects have particularities which pose challenges in front of methods considering the extended object as a single point. Measurements of the object extent can be used for estimating size parameters of the object, whose shape is modeled by an ellipse. This paper proposes a solution to the extended object tracking problem by mixture Kalman filtering. The system model is formulated in a conditional dynamic linear (CDL) form. Based on the specifics of the task, two latent indicator variables are proposed, characterising the mode of maneuvering and size type, respectively. The developed Mixture Kalman filter is validated and evaluated by computer simulation.
KW - nonlinear estimation
KW - Monte Cralo methods
KW - parameter estimation
KW - stochastic filters
KW - extended objects
KW - DCS-publications-id
KW - incoll-66
KW - DCS-publications-credits
KW - dsp
KW - DCS-publications-personnel-id
KW - 121
U2 - 10.1007/978-3-540-70942-8_14
DO - 10.1007/978-3-540-70942-8_14
M3 - Chapter
SN - 978-3-540-70940-4
VL - 4310
SP - 122
EP - 130
BT - Lecture Notes in Computer Science
A2 - Boyanov, T
A2 - Dimova, S
A2 - Georgiev, K
A2 - Nikolov, G
PB - Springer-Verlag,
CY - Heidelberg
ER -