This document discusses advancements in particle filtering techniques for multiple target tracking (MTT), particularly focusing on state partition particle filters and generalizations of auxiliary particle filters. It outlines various methods and algorithms, such as Independent Joint Optimal Importance Density and Auxiliary Parallel Partition filters, designed to address the challenges posed by high-dimensional state spaces. Simulations and results are provided to illustrate the effectiveness of these approaches in MTT applications.