Marginal multi-bernoulli filters: RFS derivation of MHT, JIPDA, and association-based member

Recent developments in random finite sets (RFSs) have yielded a variety of tracking methods that avoid data association. This paper derives a form of the full Bayes RFS filter and observes that data association is implicitly present, in a data structure similar to multiple hypothesis tracking (MHT).... View More