Roadside Video Data Analysis - Deep Learning (Paperback, Softcover reprint of the original 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:	December 2018
First published:	2017
Authors:	Brijesh Verma • Ligang Zhang • David Stockwell
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	189
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-981-13-5162-4
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:	981-13-5162-7
Barcode:	9789811351624

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!