Computer Vision Systems - 12th International Conference, ICVS 2019, Thessaloniki, Greece, September 23-25, 2019, Proceedings (Paperback, 1st ed. 2019)


This book constitutes the refereed proceedings of the 12th International Conference on Computer Vision Systems, ICVS 2019, held in Thessaloniki, Greece, in September 2019.The 72 papers presented were carefully reviewed and selected from 114 submissions. The papers are organized in the following topical sections; hardware accelerated and real time vision systems; robotic vision; vision systems applications; high-level and learning vision systems; cognitive vision systems; movement analytics and gesture recognition for human-machine collaboration in industry; cognitive and computer vision assisted systems for energy awareness and behavior analysis; and vision-enabled UAV and counter UAV technologies for surveillance and security of critical infrastructures.

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Product Description

This book constitutes the refereed proceedings of the 12th International Conference on Computer Vision Systems, ICVS 2019, held in Thessaloniki, Greece, in September 2019.The 72 papers presented were carefully reviewed and selected from 114 submissions. The papers are organized in the following topical sections; hardware accelerated and real time vision systems; robotic vision; vision systems applications; high-level and learning vision systems; cognitive vision systems; movement analytics and gesture recognition for human-machine collaboration in industry; cognitive and computer vision assisted systems for energy awareness and behavior analysis; and vision-enabled UAV and counter UAV technologies for surveillance and security of critical infrastructures.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Lecture Notes in Computer Science, 11754

Release date

November 2019

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

799

Edition

1st ed. 2019

ISBN-13

978-3-03-034994-3

Barcode

9783030349943

Categories

LSN

3-03-034994-2



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