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Identification of acoustic signatures for vehicles via reduction of dimensionality

Summary: Identification of acoustic signatures for vehicles via
reduction of dimensionality
Amir Averbuch 1 Eyal Hulta 1 Valery Zheludev 1
1 School of Computer Science
Tel Aviv University, Tel Aviv 69978, Israel
April 15, 2001
In this paper we propose a robust algorithm that solves two related problems: 1)
Classification of acoustic signals emitted by different moving vehicles. The recorded
signals have to be identified to which pre­existing group they belong to independently
from the recording surrounding conditions. 2) Detection of the presence of a vehicle
in a certain class via analysis of its acoustic signature against the existing database of
recorded and processed acoustic signals. To achieve this detection with no false alarms
we construct the acoustic signature of a certain vehicle using the distribution of the
energies among blocks which consist of coefficients of multiscale local cosine transform
(LCT) applied on the frequency domain of the acoustic signal. No false alarms in the
detection are allowed even under severe conditions such as the acoustic recording of
the sought­after object is a superposition of the acoustics emitted from other vehicles
that belong to other classes and external noise. The proposed algorithm is robust even
under severe noise and diverse rough surrounding conditions. This technology, which


Source: Averbuch, Amir - School of Computer Science, Tel Aviv University


Collections: Computer Technologies and Information Sciences