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...

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Bibliographic Details
Main Authors: Verma, Brijesh, Zhang, Ligang (Author), Stockwell, David (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2017, 2017
Edition:1st ed. 2017
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XXV, 189 p. 79 illus., 68 illus. in color online resource
ISBN:9789811045394