Traffic state quantitative identification method based on visual features

Abstract

The invention belongs to the field of intelligent transportation and machine vision, and discloses a traffic state quantitative identification method based on visual features. The method comprises the following steps of: reading a video from a video acquisition card, and pre-processing each frame of image in the original video; extracting space-time related information from grayed video image frames; adding traffic state category tags for acquired space-time sequence identifiers in a mode of combining objective estimation and subjective judgment; performing dimensionality reduction on the space-time sequence identifiers added with the tags and extracting feature vectors; constructing a classifier by using the extracted feature vectors as the input of a support vector machine (SVM); and quantitatively identifying the traffic state. By adopting the method, each module is optimized, so that accumulative errors of a system are reduced, and the reliability of traffic state quantitative identification data is improved; and dimensionality reduction and feature extraction of a space-time sequence identifier image matrix are realized by adopting a method of principal component analysis (PCA) and Fisher linear discriminant analysis (Fisher LDA), and the SVM is applied to traffic state identification and classification, so that the classification is accurate and effective.

Description

technical field [0001] The invention belongs to the field of intelligent transportation and machine vision, and relates to a method for quantitatively identifying traffic states of urban expressways by using technologies such as feature extraction and support vector machines. Background technique [0002] In recent years, the development of science and technology and the modernization of transportation facilities have caused widespread road congestion and increased accidents, and the deterioration of the traffic environment has become an urgent problem to be solved. Intelligent Transportation System (Intelligent Transportation System, referred to as ITS) is produced under such a demand and has become a research trend and hot spot in this field. Among the various functions of ITS, the identification results of traffic status provide basic information guarantee for later management and control work, so it has a crucial impact on the effectiveness and accuracy of the entire sys...

AI Technical Summary

Problems solved by technology

However, in the established classical models, there are still defects such as the complexity is too high to achieve or the extracted information is not enough to effectively classify

Images