Visual Object Tracking with Deep Neural Networks / / edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.

Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of...

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Place / Publishing House:London, United Kingdom : : IntechOpen,, 2019.
Year of Publication:2019
Language:English
Physical Description:1 online resource (206 pages) :; illustrations some color
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spelling Luigi Mazzeo, Pier edt
Visual Object Tracking with Deep Neural Networks / edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.
IntechOpen 2019
London, United Kingdom : IntechOpen, 2019.
1 online resource (206 pages) : illustrations some color
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on: online resource; title from PDF information screen (Intech, viewed October 20, 2022).
Includes bibliographical references.
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
English
Artificial intelligence.
Neural networks (Computer science)
Neural networks & fuzzy systems
1-78985-157-2
Mazzeo, Pier Luigi, editor.
Ramakrishnan, Srinivasan, editor.
Spagnolo, Paolo, editor.
language English
format eBook
author2 Mazzeo, Pier Luigi,
Ramakrishnan, Srinivasan,
Spagnolo, Paolo,
author_facet Mazzeo, Pier Luigi,
Ramakrishnan, Srinivasan,
Spagnolo, Paolo,
author2_variant m p l mp mpl
p l m pl plm
s r sr
p s ps
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
title Visual Object Tracking with Deep Neural Networks /
spellingShingle Visual Object Tracking with Deep Neural Networks /
title_full Visual Object Tracking with Deep Neural Networks / edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.
title_fullStr Visual Object Tracking with Deep Neural Networks / edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.
title_full_unstemmed Visual Object Tracking with Deep Neural Networks / edited by Pier Luigi Mazzeo, Srinivasan Ramakrishnan, and Paolo Spagnolo.
title_auth Visual Object Tracking with Deep Neural Networks /
title_new Visual Object Tracking with Deep Neural Networks /
title_sort visual object tracking with deep neural networks /
publisher IntechOpen
IntechOpen,
publishDate 2019
physical 1 online resource (206 pages) : illustrations some color
isbn 1-78985-142-4
1-78985-158-0
1-78985-157-2
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q335
callnumber-sort Q 3335 V578 42019
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006
dewey-sort 16
dewey-raw 006
dewey-search 006
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