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
Repository Citation
Shirazi, M. S.,
Morris, B.
(2018).
Traffic Flow Classification Using Traffic Cameras.
International Symposium on Visual Computing 2018, 2018
758-767.
http://dx.doi.org/10.1007/978-3-030-03801-4_66