gmphd

Overview

GM-PHD (Gaussian mixture probability hypothesis density) filter, implemented in Python.

Tracks multiple objects in noisy observations, using a specified (linear Gaussian) model of how state updates and observations occur.

Related publications

D. Stowell and M. D. Plumbley, Multi-target pitch tracking of vibrato sources in noise using the GM-PHD filter. Edinburgh, UK, 2012.: [More Details] [BIBT_EX]; @proceedings{dan2012a, author = {Dan Stowell and Mark D Plumbley}, title = {Multi-target pitch tracking of vibrato sources in noise using the GM-PHD filter}, address = {Edinburgh, UK}, booktitle = {5th International Workshop on Machine Learning and Music}, year = {2012} }

Members

Manager: Dan Stowell