Mobile object recognition based on acoustic information

The paper considers a statistical method to classify objects based on sound emitted by the objects. Engines and the carriageable devices are the sources of signal. The used methodology doesn't require the detailed analysis which part of object is responsible for the components of signal. The sound is preprocessed using DSP methods to obtain feature vectors to be used by a statistical classifier. A computer system equipped by DSP processor for mobile object recognition as real-time application is also presented. Results of classification of various military vehicles were the subject of conclusions.