Research on Vehicle Type Classification Based on Spatial Pyramid Representation and BP Neural Network

Shaoyue Song, Zhenjiang Miao

Abstract: This paper presents a method of the vehicle type classification based on spatial pyramid representation and BP neural network. We extract feature vectors of each vehicle image by using the spatial pyramid representation method. By this way, we can use different size of pictures instead of changing the picture into a fixed size avoiding the deformation of the target images when cropping or warping and so on. We choose BP neural network to train our classifier and have a good performance on car, bus and truck classification.