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• W2163557299 abstract "The Gaussian mixture probability hypothesis density filter (GM-PHD Filter) was proposed recently for jointly estimating the time-varying number of targets and their states from a noisy sequence of sets of measurements which may have missed detections and false alarms. The initial implementation of the GM-PHD filter provided estimates for the set of target states at each point in time but did not ensure continuity of the individual target tracks. It is shown here that the trajectories of the targets can be determined directly from the evolution of the Gaussian mixture and that single Gaussians within this mixture accurately track the correct targets. Furthermore, the technique is demonstrated to be successful in estimating the correct number of targets and their trajectories in high clutter density and shows better performance than the MHT filter" @default.
• W2163557299 created "2016-06-24" @default.
• W2163557299 creator A5067139108 @default.
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• W2163557299 date "2006-07-01" @default.
• W2163557299 modified "2023-10-12" @default.
• W2163557299 title "The GM-PHD Filter Multiple Target Tracker" @default.
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• W2163557299 doi "https://doi.org/10.1109/icif.2006.301809" @default.
• W2163557299 hasPublicationYear "2006" @default.
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