Ground multiple target tracking with a network of acoustic sensor arrays using PHD and CPHD filters

Author

Özkan, Emre ; Guldogan, Mehmet B. ; Orguner, Umut ; Gustafsson, Fredrik

Author_Institution

Dept. of Electr. Enginnering, Linkoping Univ., Linkoping, Sweden

fYear

2011

fDate

5-8 July 2011

Firstpage

1

Lastpage

8

Abstract

In this paper, we explore the potential of networked microphone arrays for multiple target tracking. Tracking is accomplished by using the direction-of-arrival (DOA) estimates of multiple microphone arrays. Each microphone array obtains the DOA estimates by using the wideband extensions of the multiple signal classification (MUSIC) technique. Based on these DOA estimates, multi target tracking is done by using Probability hypothesis density (PHD) and cardinalized probability hypothesis density (CPHD) algorithms. The results show that the CPHD performs better than the PHD on real data as it estimates the number of targets more accurately.

Keywords

acoustic signal processing; direction-of-arrival estimation; filtering theory; microphone arrays; probability; sensor arrays; signal classification; target tracking; CPHD filters; DOA estimation; MUSIC technique; PHD filters; acoustic sensor arrays; cardinalized probability hypothesis density algorithm; direction-of-arrival estimation; ground multiple target tracking; multiple signal classification technique; networked microphone arrays; probability hypothesis density algorithm; Acoustics; Direction of arrival estimation; Roads; Sensor arrays; Target tracking; Wideband; Acoustic ground multitarget tracking; CPHD filter; PHD filter; bearing estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4577-0267-9

Type

conf

Filename

5977554