Summary: A wavelet packet algorithm for classification and detection of
moving vehicles
Amir Averbuch 1 Eyal Hulata 1 Valery Zheludev 1 Inna Kozlov 2
1 Department of Computer Science
School of Mathematical Sciences
Tel Aviv University, Tel Aviv 69978, Israel
2 Electro­Optics Research and Development Ltd (EORD)
Technion, Haifa 32000, Israel
Abstract
In this paper we propose a robust algorithm that solves two related problems: 1) Classifi­
cation of acoustic signals emitted by different moving vehicles. The recorded signals have to
be assigned to pre­existing categories 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 de­
tection with practically no false alarms we construct the acoustic signature of a certain vehicle
using the distribution of the energies among blocks which consist of wavelet packet coefficients.
We allow no false alarms in the detection even under severe conditions; for example when the
acoustic recording of target object is a superposition of the acoustics emitted from other vehicles
that belong to other classes. The proposed algorithm is robust even under severe noise and a
range of rough surrounding conditions. This technology, which has many algorithmic variations,

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

Collections: Computer Technologies and Information Sciences