國立虎尾科技大學 |

Roadside video data analysis = deep learning /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Roadside video data analysis/ by Brijesh Verma, Ligang Zhang, David Stockwell.
其他題名:	deep learning /
作者:	Verma, Brijesh.
其他作者:	Zhang, Ligang.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xxv, 189 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Machine learning. -
電子資源:	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. 50. .

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:

561253
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Roadside video data analysis = deep learning /
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