Can I read Video Based Machine Learning for Traffic Intersections on EtoBox?

Video Based Machine Learning for Traffic Intersections by Banerjee, Tania & Huang, Xiaohui & Wu, Aotian & Chen, Ke & Rangarajan, Anand & Ranka, Sanjay is a book available to read on EtoBox.

What is Video Based Machine Learning for Traffic Intersections about?

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 learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian–vehicle and vehicle–vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are usefu

Author

Banerjee, Tania & Huang, Xiaohui & Wu, Aotian & Chen, Ke & Rangarajan, Anand & Ranka, Sanjay

Publisher

CRC Press

Published

2023

Language

EN