Conclusion

In this paper, we introduced two number-of-tracks estimation algorithms, which employ the Viterbi MHT algorithm for MAP based multiple hypothesis multitarget tracking. One algorithm jointly estimates both the number-of-tracks and the measurement-to-track associations, while the other marginalizes over the associations to provide an estimate of the number-of-tracks only. Simulation results illustrate that this approach can be effective, and that marginalization can offer some advantage over the joint estimator.