Abstract: A Random Finite Set (RFS) based multi-target filter using a mixture of multi-object Dirac Delta and Poisson RFSs is proposed.

A filtering algorithm is presented which efficiently extracts the highest weight components of the complete mixture distribution. Results show that the proposed ...

The TPMB filter for all trajectories requires the propagation of more variables, as single trajectory densities have more parameters (41) , and the recursions ...

Bibliographic details on A Dirac Delta mixture-based Random Finite Set filter.

Abstract—State space models in which the system state is a finite set–called the multi-object state–have generated con- siderable interest in recent years.

Jun 9, 2016 · This paper addresses distributed multi-object tracking over a network of heterogeneous and geograph- ically dispersed nodes with sensing, ...

THE multi-object filtering problem is a logical and fundamental generalization of the ubiq- uitous single-object vector filtering problem.

The single-sensor Poisson multi-Bernoulli (MB) mixture (PMBM) filter has been developed for multi-target tracking (MTT). However, there is a lack of ...

THE multi-object filtering problem is a logical and fundamental generalization of the ubiq- uitous single-object vector filtering problem.

The problem of multiple target tracking (MTT) is a major area that occurs in a va- riety of real world systems. The problem involves the detection and ...