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

Himanshu Shah, Darryl Morrell

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages535-539
Number of pages5
DOIs
StatePublished - Dec 1 2006
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

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

Other

Other40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
CountryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A novel dynamic filter switching algorithm to track people using acoustic sensors'. Together they form a unique fingerprint.

  • Cite this

    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 (pp. 535-539). [4176615] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2006.354805