Tracking multiple speakers using CPHD filter

Authors:
Nam Trung Pham;Weimin Huang;S. H. Ong
Affiliations:
Institute for Infocomm Research, Singapore, Singapore;Institute for Infocomm Research, Singapore, Singapore;National University of Singapore, Singapore, Singapore
Venue:
Proceedings of the 15th international conference on Multimedia
Year:
2007

Citing 4
Cited 1

Tracking and data association

Tracking and data association
The Gaussian Mixture Probability Hypothesis Density Filter

IEEE Transactions on Signal Processing
Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter

IEEE Transactions on Signal Processing - Part II
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach

IEEE Transactions on Signal Processing

Joint detection and estimation of multiple objects from image observations

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present an efficient method for tracking multiple speakers in a reverberant environment. The proposed method is based on the cardinalized probability hypothesis density (CPHD) filter. Because the CPHD filter can handle a large amount of clutter measurements, our method has a high reliability when tracking multiple speakers. Simulation experiments are presented to demonstrate the performance of the proposed method.