An Approach of Passive Vehicle Type Recognition by Acoustic Signal Based on SVM

作者：Qi Xiao xuan^*; Ji Jian wei; Han Xiao wei; Yuan Zhong hu

来源：3rd International Conference on Genetic and Evolutionary Computing, 2009-10-14 To 2009-10-16.

DOI：10.1109/WGEC.2009.117

• vehicle recognition
• SVM
• acoustic signal
• power spectrum estimation

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.

• 出版日期2009
• 单位沈阳农业大学