Vehicle type recognition method in intelligent transportation monitoring system

The invention belongs to the technical field of intelligent transportation and video monitoring, and relates to a vehicle type recognition method based on a convolution neutral network. The method includes the steps that firstly, the convolution neutral network used for vehicle type recognition is designed; training samples are collected and manually marked; the collected samples are preprocessed, and the preprocessing step includes the sub-steps of gray level conversion, down-sampling, brightness standardization, contrast ratio standardization and zero padding; characteristics of preprocessed samples are obtained through the designed convolution neutral network; the obtained characteristics are used for training a vehicle type classifier, and the classifier is used for recognizing vehicle types, so that final vehicle type recognition results are obtained. The recognition rate of the vehicle types can be effectively increased, and the vehicle type recognition method has great application prospects.

[1]  Yunde Jia,et al.  Vehicle Type Classification Using Unsupervised Convolutional Neural Network , 2014, 2014 22nd International Conference on Pattern Recognition.