A hierarchical algorithm for moving vehicle identification based on acoustic noise analysis

Author

Astapov, Sergei ; Riid, Andri

Author_Institution

Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia

fYear

2012

fDate

24-26 May 2012

Firstpage

467

Lastpage

472

Abstract

This paper considers a multistage hierarchical algorithm of acoustic signal analysis and pattern recognition for identification of moving vehicles in an open environment. The algorithm applies several standalone techniques to enable complex decision-making during event identification. Computationally inexpensive procedures are specifically chosen in order to provide real-time operation capability. The algorithm is tested on pre-recorded audio signals of passing passenger cars and displays promising classification accuracy.

Keywords

acoustic signal processing; audio signal processing; object recognition; road vehicles; signal classification; acoustic noise analysis; acoustic signal analysis; classification accuracy; complex decision-making; event identification; moving vehicle identification; multistage hierarchical algorithm; open environment; passing passenger cars; pattern recognition; pre-recorded audio signals; real-time operation capability; Algorithm design and analysis; Classification algorithms; Correlation; Feature extraction; Noise; Vectors; Vehicles; Vehicle identification; audio signal analysis; feature extraction; fuzzy logic; noise classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Mixed Design of Integrated Circuits and Systems (MIXDES), 2012 Proceedings of the 19th International Conference

Conference_Location

Warsaw

Print_ISBN

978-1-4577-2092-5

Type

conf

Filename

6226235