Roadside video data analysis: Deep learning

Verma, Brijesh; Zhang, Ligang; Stockwell, David

Roadside video data analysis: Deep learning

book

posted on 2018-05-04, 00:00 authored by Brijesh Verma, Ligang ZhangLigang Zhang, David Stockwell

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.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

711

Start Page

1

End Page

189

Number of Pages

189

ISBN-10

9811045399

ISBN-13

9789811045394

Publisher

Springer

Place of Publication

Singapore

Publisher DOI

https://doi.org/10.1007/978-981-10-4539-4

Full Text URL

https://www.springer.com/gp/book/9789811045387

Open Access

No

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Series

Studies in Computational Intelligence

Number of Chapters

5

Usage metrics

Keywords

Deep Learning Roadside Video Data Analysis Machine Learning Fire Risk Assessment Computer Vision Neural, Evolutionary and Fuzzy Computation Pattern Recognition and Data Mining

Licence

CQUniversity General 1.0

Roadside video data analysis: Deep learning

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

Start Page

End Page

Number of Pages

ISBN-10

ISBN-13

Publisher

Place of Publication

Publisher DOI

Full Text URL

Open Access

Author Research Institute

Era Eligible

Series

Number of Chapters

Usage metrics

Categories

Keywords

Licence

Exports