48 citations · 111 across the 15 of their papers we have counts for
3 papers · 1 filter
A second-order PHD filter with mean and variance in target number
Isabel Schlangen, Emmanuel D. Delande, Jeremie Houssineau +1
The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters are popular solutions to the multi-target tracking problem due to their low complexity and ability to e…
Spawning Models for the CPHD Filter
Daniel S. Bryant, Emmanuel D. Delande, Steven Gehly +3
In its classical form, the Cardinalized Probability Hypothesis Density (CPHD) filter does not model the appearance of new targets through spawning, yet there are applications for w…
Bayesian filtering for multi-object systems with independently generated observations
Daniel Edward Clark
A general approach for Bayesian filtering of multi-object systems is studied, with particular emphasis on the model where each object generates observations independently of other…