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  • Research Article
  • Open Access

An Automated Acoustic System to Monitor and Classify Birds

  • 1Email author,
  • 2,
  • 1,
  • 2,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 3 and
  • 3
EURASIP Journal on Advances in Signal Processing20062006:096706

https://doi.org/10.1155/ASP/2006/96706

  • Received: 4 May 2005
  • Accepted: 11 October 2005
  • Published:

Abstract

This paper presents a novel bird monitoring and recognition system in noisy environments. The project objective is to avoid bird strikes to aircraft. First, a cost-effective microphone dish concept (microphone array with many concentric rings) is presented that can provide directional and accurate acquisition of bird sounds and can simultaneously pick up bird sounds from different directions. Second, direction-of-arrival (DOA) and beamforming algorithms have been developed for the circular array. Third, an efficient recognition algorithm is proposed which uses Gaussian mixture models (GMMs). The overall system is suitable for monitoring and recognition for a large number of birds. Fourth, a hardware prototype has been built and initial experiments demonstrated that the array can acquire and classify birds accurately.

Keywords

  • Information Technology
  • Mixture Model
  • Quantum Information
  • Initial Experiment
  • Recognition System

Authors’ Affiliations

(1)
Intelligent Automation, Inc., 15400 Calhoun Drive, Suite 400, Rockville, MD 20855, USA
(2)
Department of Electrical and Computer Engineering, University of Missouri-Columbia, 349 Engineering Building West, Columbia, MO 65211, USA
(3)
National Institute of Standards and Technology, Building 225, Room A216, Gaithersburg, MD 20899, USA

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Copyright

© C. Kwan et al. 2006

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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