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Object Tracking in 3-D Space with Passive Acoustic Sensors using Particle Filter
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Object Tracking in 3-D Space with Passive Acoustic Sensors using Particle Filter

Vol. 5, No. 9, September 28, 2011
10.3837/tiis.2011.09.008, Download Paper (Free):

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.


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Cite this article

[IEEE Style]
J. Lee, S. H. Cho, S. Hong, J. Lim and S. Oh, "Object Tracking in 3-D Space with Passive Acoustic Sensors using Particle Filter," KSII Transactions on Internet and Information Systems, vol. 5, no. 9, pp. 1632-1652, 2011. DOI: 10.3837/tiis.2011.09.008.

[ACM Style]
Jinseok Lee, Shung Han Cho, Sangjin Hong, Jaechan Lim, and Seong-Jun Oh. 2011. Object Tracking in 3-D Space with Passive Acoustic Sensors using Particle Filter. KSII Transactions on Internet and Information Systems, 5, 9, (2011), 1632-1652. DOI: 10.3837/tiis.2011.09.008.