On acoustic surveillance of hazardous situations

  • Authors:

  • Stavros Ntalampiras;Ilyas Potamitis;Nikos Fakotakis

  • Affiliations:

  • Department of Electrical and Computer Engineering, University of Patras, Greece;Department of Music Technology and Acoustics, Technological Educational Institute of Crete, Greece;Department of Electrical and Computer Engineering, University of Patras, Greece

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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Abstract

The present study presents a practical methodology for automatic space monitoring based solely on the perceived acoustic information. We consider the case where atypical situations such as screams, explosions and gunshots take place in a metro station environment. Our approach is based on a two stage recognition schema, each one exploiting HMMs for approximating the density function of the corresponding sound class. The main objective is to detect abnormal events that take place in a noisy environment. A thorough evaluation procedure is carried out under different SNR conditions and we report high detection rates with respect to false alarm and miss probabilities rates.