Traffic Flow Classification Using Traffic Cameras
International Symposium on Visual Computing 2018
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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.
Electrical and Computer Engineering
Shirazi, M. S.,
Traffic Flow Classification Using Traffic Cameras.
International Symposium on Visual Computing 2018, 2018