  The focus of this paper is on classification of different vehicles using
sound emanated from the vehicles. In this paper,quadratic discriminant analysis
classifies audio signals of passing vehicles to bus, car, motor, and truck
categories based on features such as short time energy, average zero cross
rate, and pitch frequency of periodic segments of signals. Simulation results
show that just by considering high energy feature vectors, better
classification accuracy can be achieved due to the correspondence of low energy
regions with noises of the background. To separate these elements, short time
energy and average zero cross rate are used simultaneously.In our method,we
have used a few features which are easy to be calculated in time domain and
enable practical implementation of efficient classifier. Although, the
computation complexity is low, the classification accuracy is comparable with
other classification methods based on long feature vectors reported in
literature for this problem.
