Multi-target particle filtering for the probability hypothesis density
Multi-target particle filtering for the probability hypothesis density
When tracking a large number of targets, it is often computationally expensive to represent the full joint distribution over target states. In cases where the targets move independently, each target can instead be tracked with a separate filter. However, this leads to a model-data as- sociation problem. Another approach to …