Video Based Machine Learning for Traffic Intersections

Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learnin

Imported from: https://www.routledge.com/Video-Based-Machine-Learning-for-Traffic-Intersections/Banerjee-Huang-Wu-Chen-Rangarajan-Ranka/p/book/9781032565170