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We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterize… Click to show full abstract
We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterize the distribution of the trajectories given the measurements, as it contains all information about the trajectories. We attain this by considering multiobject density functions in which objects are trajectories. For the standard tracking models, we also describe a conjugate family of multitrajectory density functions.
Keywords:
multiple target;
tracking based;
sets trajectories;
based sets;
target tracking
Journal Title: IEEE Transactions on Aerospace and Electronic Systems
Year Published: 2020
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Journal Title: IEEE Transactions on Aerospace and Electronic Systems
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!