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, (Author), Zhang, Ligang, (Author), Stockwell, David, (Author)
Format: eBook
Language: English
Published: Singapore : Springer, 2017.
Series: Studies in computational intelligence ; v. 711.
Subjects:
Machine learning.
Data mining.
Digital video > Data processing.
elektronické knihy
electronic books
ISBN: 9789811045394
9789811045387
Physical Description: 1 online resource (xxv, 189 pages) : illustrations (some color)

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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.
Bibliography: Includes bibliographical references.
ISBN: 9789811045394
9789811045387
ISSN: 1860-949X ;
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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