Title :
Method of vehicle classification based on video
Author_Institution :
Sch. of Civil Eng., Guangzhou Univ., Guangzhou
Abstract :
The paper put forward the vehicle classification using image analyses. First of all, road background is set up according to the serial images, and the vehicle region are segmented using background divide, then its moment invariant features are calculated. The moment invariant features of vehicle will be the input of BP neural networks with three layers, and the vehicle type is classified according to the output of the BP neural networks. The test has verified the validity of this method.
Keywords :
backpropagation; image classification; image segmentation; neural nets; traffic engineering computing; video signal processing; BP neural networks; image analyses; moment invariant features; road background; video vehicle classification; Calibration; Character recognition; Data mining; Image recognition; Image segmentation; Infrared detectors; Intelligent vehicles; Neural networks; Road transportation; Road vehicles; Moment Invariant; Neural Networks; Vehicle Segmentation;
Conference_Titel :
Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4244-2494-8
Electronic_ISBN :
978-1-4244-2495-5
DOI :
10.1109/AIM.2008.4601652
