Roadside Video Data Analysis - Deep Learning (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 711
Release date:	May 2017
First published:	2017
Authors:	Brijesh Verma • Ligang Zhang • David Stockwell
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	189
Edition:	1st ed. 2017
ISBN-13:	978-981-10-4538-7
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > Highway & traffic engineering Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-10-4538-0
Barcode:	9789811045387

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