Title :
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
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;
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
