Vehicle Classification Using a Biological Model of Hearing
Abstract
The Army is interested in using acoustic sensors in the battlefield to perform vehicle tracking and classification using passive arrays of acoustic microphones and seismic sensors. Here, we present a prototype vehicle acoustic signal classification. To analyze acoustic features of the vehicle signal, we adopt biologically motivated feature extraction models. Physiological and psychophysical research have shown that primary auditory cortex performs to the first order a multi-scale decomposition of the incoming auditory spectra, on axes of log-frequency and time. This decomposition, based on the spectra emerging from a realistic model of the cochlea, representation for the classifier.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2000
- Accession Number
- ADA392124
Entities
People
- Didier A. Depireux
- S. A. Shamma
Organizations
- University of Maryland