Object tracking in 3-D space with passive acoustic sensors using particle filter

Jinseok Lee, Shung Han Cho, Sangjin Hong, Jaechan Lim, Seong-Jun Oh

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper considers the object tracking problem in three dimensional (3-D) space when the azimuth and elevation of the object are available from the passive acoustic sensor. The particle filtering technique can be directly applied to estimate the 3-D object location, but we propose to decompose the 3-D particle filter into the three planes' particle filters, which are individually designed for the 2-D bearings-only tracking problems. 2-D bearing information is derived from the azimuth and elevation of the object to be used for the 2-D particle filter. Two estimates of three planes' particle filters are selected based on the characterization of the acoustic sensor operation in a noisy environment. The Cramer-Rao Lower Bound of the proposed 2-D particle filter-based algorithm is derived and compared against the algorithm that is based on the direct 3-D particle filter.

Original languageEnglish
Pages (from-to)1632-1652
Number of pages21
JournalKSII Transactions on Internet and Information Systems
Volume5
Issue number9
DOIs
Publication statusPublished - 2011 Sep 29

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Bearings (structural)
Acoustics
Sensors

Keywords

  • 3-D object tracking
  • Acoustic sensors
  • Bearings-only tracking
  • Data fusion
  • Particle filter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Object tracking in 3-D space with passive acoustic sensors using particle filter. / Lee, Jinseok; Cho, Shung Han; Hong, Sangjin; Lim, Jaechan; Oh, Seong-Jun.

In: KSII Transactions on Internet and Information Systems, Vol. 5, No. 9, 29.09.2011, p. 1632-1652.

Research output: Contribution to journalArticle

Lee, Jinseok ; Cho, Shung Han ; Hong, Sangjin ; Lim, Jaechan ; Oh, Seong-Jun. / Object tracking in 3-D space with passive acoustic sensors using particle filter. In: KSII Transactions on Internet and Information Systems. 2011 ; Vol. 5, No. 9. pp. 1632-1652.
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