Roadside Video Data Analysis

Deep Learning

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Electronics
Cover of the book Roadside Video Data Analysis by Brijesh Verma, Ligang Zhang, David Stockwell, Springer Singapore
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Author: Brijesh Verma, Ligang Zhang, David Stockwell ISBN: 9789811045394
Publisher: Springer Singapore Publication: April 28, 2017
Imprint: Springer Language: English
Author: Brijesh Verma, Ligang Zhang, David Stockwell
ISBN: 9789811045394
Publisher: Springer Singapore
Publication: April 28, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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