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The focus of this paper is on classification of different vehicles usingsound emanated from the vehicles. In this paper,quadratic discriminant analysisclassifies audio signals of passing vehicles to bus, car, motor, and truckcategories based on features such as short time energy, average zero crossrate, and pitch frequency of periodic segments of signals. Simulation resultsshow that just by considering high energy feature vectors, betterclassification accuracy can be achieved due to the correspondence of low energyregions with noises of the background. To separate these elements, short timeenergy and average zero cross rate are used simultaneously.In our method,wehave used a few features which are easy to be calculated in time domain andenable practical implementation of efficient classifier. Although, thecomputation complexity is low, the classification accuracy is comparable withother classification methods based on long feature vectors reported inliterature for this problem.

Classification of Vehicles Based on Audio Signals using Quadratic Discriminant Analysis and High Energy Feature Vectors