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Roadside video data analysis = deep ...

Verma, Brijesh.

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Roadside video data analysis = deep learning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Roadside video data analysis/ by Brijesh Verma, Ligang Zhang, David Stockwell.
Reminder of title:	deep learning /
Author:	Verma, Brijesh.
other author:	Zhang, Ligang.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	xxv, 189 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Machine learning. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-4539-4
ISBN:	9789811045394

Roadside video data analysis = deep learning /
Verma, Brijesh.

Roadside video data analysisdeep learning /[electronic resource] :by Brijesh Verma, Ligang Zhang, David Stockwell. - Singapore :Springer Singapore :2017. - xxv, 189 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7111860-949X ;. - Studies in computational intelligence ;v.711..

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.

ISBN: 9789811045394

Standard No.: 10.1007/978-981-10-4539-4doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Roadside video data analysis = deep learning /
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100 1 $a Verma, Brijesh. $3 2002463
245 1 0 $a Roadside video data analysis $h [electronic resource] : $b deep learning / $c by Brijesh Verma, Ligang Zhang, David Stockwell.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a xxv, 189 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.711
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning. $3 533906
650 0 $a Data mining. $3 562972
650 0 $a Digital video $x Data processing. $3 922029
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
700 1 $a Zhang, Ligang. $3 3236526
700 1 $a Stockwell, David. $3 1942600
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.711. $3 3236527
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