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10.1109/WGEC.2009.117guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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An Approach of Passive Vehicle Type Recognition by Acoustic Signal Based on SVM

Published: 14 October 2009 Publication History
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  • Abstract

    An approach of power spectrum estimation is utilized to extract the feature vectors from acoustic signal radiated from different types of moving vehicles. A method of feature selection based on principal component analysis (PCA) is proposed to reconstruct effective feature vectors via dimension reduction. The classification of three typical targets is achieved by supported vector machine (SVM). Experiment results show that the approach presented in the paper for automatic recognition of vehicle type is effective.

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      cover image Guide Proceedings
      WGEC '09: Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing
      October 2009
      846 pages
      ISBN:9780769538990

      Publisher

      IEEE Computer Society

      United States

      Publication History

      Published: 14 October 2009

      Author Tags

      1. SVM
      2. acoustic signal
      3. power spectrum estimation
      4. vehicle recognition

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