A novel dynamic filter switching algorithm to track people using acoustic sensors

Himanshu Shah; Darryl Morrell

doi:10.1109/ACSSC.2006.354805

A novel dynamic filter switching algorithm to track people using acoustic sensors

Himanshu Shah, Darryl Morrell

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a new dynamic filter switching algorithm to track people that randomly enter, exit, move and stop in a region of interest using a network of uniformly spaced, stationary acoustic sensors. The existence of a new target is determined by jointly weighting the particles of a Track-Before-Detect particle filter and an Interacting Multiple Model particle filter which is used to track confirmed targets. The algorithm detects new targets as well as tracks targets with intermittent motion, as is shown by Monte-Carlo simulations.

Original language	English (US)
Title of host publication	Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages	535-539
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2006.354805
State	Published - 2006
Event	40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States Duration: Oct 29 2006 → Nov 1 2006

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country/Territory	United States
City	Pacific Grove, CA
Period	10/29/06 → 11/1/06

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2006.354805

Cite this

A novel dynamic filter switching algorithm to track people using acoustic sensors. / Shah, Himanshu; Morrell, Darryl.
Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06. 2006. p. 535-539 4176615 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shah, H & Morrell, D 2006, A novel dynamic filter switching algorithm to track people using acoustic sensors. in Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06., 4176615, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 535-539, 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06, Pacific Grove, CA, United States, 10/29/06. https://doi.org/10.1109/ACSSC.2006.354805

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AB - We present a new dynamic filter switching algorithm to track people that randomly enter, exit, move and stop in a region of interest using a network of uniformly spaced, stationary acoustic sensors. The existence of a new target is determined by jointly weighting the particles of a Track-Before-Detect particle filter and an Interacting Multiple Model particle filter which is used to track confirmed targets. The algorithm detects new targets as well as tracks targets with intermittent motion, as is shown by Monte-Carlo simulations.

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ER -

A novel dynamic filter switching algorithm to track people using acoustic sensors

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