Title

Traffic Flow Classification Using Traffic Cameras

Document Type

Conference Proceeding

Publication Date

11-10-2018

Publication Title

International Symposium on Visual Computing 2018

Volume

2018

First page number:

758

Last page number:

767

Abstract

Traffic flow classification is an integrated task of traffic management and network mobility. In this work, a feature collection system is developed to collect the moving and appearance-based features of traffic images, and their performance are evaluated by different machine learning techniques including Deep Neural Networks (DNN), and Convolutional Neural Networks (CNN). The experimental results for a challenging highway video with three traffic flow classes of light, medium and heavy indicates the highest performance of CNN with 90% accuracy.

Disciplines

Electrical and Computer Engineering

Language

English

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