Tracking Maneuvering Sources in ICA

The problem addressed in this work is to separate the signals of moving sources with independent component analysis (ICA) and tracking the kinematics (position, velocity, acceleration) of each individual source in the working space using particle filters. To identify the unpredictable movement of the speaker over time, the new proposed state switching scheme handles the uncertainty of the speaker's motion by incorporating multiple motion models in the tracking process instead of using the conventional IMM algorithm. The algorithm performance has been verified by illustrating some simulation results.