Parametrization of acoustic images for the detection of human presence by mobile platforms
Konferensbidrag (offentliggjort, men ej förlagsutgivet), 2010

We address the problem of human detection with mobile platforms such as robots. Instead of using an optical system, we propose to employ an acoustic 2D array to reliably obtain an image of a human in a 3D spatial power spectrum which is independent of lighting conditions and uses cheap acoustic sensors. We show that humans have a distinct acoustic signature and propose to model the echoes from reflecting parts of objects in the scene by a Gaussian-Mixture- Model. When it is fitted to the acoustic image, we can extract geometric relations between the present echoes and represent the acoustic signatures in a low-dimensional parameter space. We present results based on real data measurements that demonstrate that different objects can be reconstructed from the data and discriminated. The obtained parameter space forms the basis for subsequent detection and classification of humans. ©2010 IEEE.

Human detection

Acoustic arrays

Gaussian-mixture-model

Författare

M. Moebus

Technische Universität Darmstadt

A.M. Zoubir

Technische Universität Darmstadt

Mats Viberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

1520-6149 (ISSN)

3538-3541

Ämneskategorier

Data- och informationsvetenskap

DOI

10.1109/ICASSP.2010.5495940

ISBN

978-142444296-6