Roadside Video Data Analysis: Deep Learning

This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.Roadside Video Data Analysis: Deep Learning is written by Brijesh Verma; Ligang Zhang; David Stockwell and published by Springer. ISBNs for Roadside Video Data Analysis are 9789811045394, 9811045399 and the print ISBNs are 9789811045387, 9811045380.