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0 (hodnocen0 x )

EB

EB

ONLINE

Singapore : Springer Singapore : Imprint: Springer, 2017

1 online zdroj

ISBN 978-981-10-4539-4 (e-kniha)

ISBN 9789811045387 (print)

Studies in Computational Intelligence, ISSN 1860-949X ; 711

Printed edition: ISBN 9789811045387

Chapter 1: Introduction -- Chapter 2: Roadside Video Data Analysis Framework -- Chapter 3: Non-Deep Learning Techniques for Roadside Video Data Analysis -- Chapter 4: Deep Learning Techniques for Roadside Video Data Analysis -- Chapter 5: Case Study: Roadside Video Data Analysis for Fire Risk Assessment -- Chapter 6: Conclusion and Future Insight - References.

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..

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