Visual Object Tracking with Deep Neural Networks
dc.contributor.editor | Luigi Mazzeo, Pier | |
dc.contributor.editor | Ramakrishnan, Srinivasan | |
dc.contributor.editor | Spagnolo, Paolo | |
dc.date.accessioned | 2021-04-20T16:05:27Z | |
dc.date.available | 2021-04-20T16:05:27Z | |
dc.date.issued | 2019 | |
dc.identifier | ONIX_20210420_9781789851588_2535 | |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/67176 | |
dc.description.abstract | 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. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence | en_US |
dc.subject.other | Neural networks & fuzzy systems | |
dc.title | Visual Object Tracking with Deep Neural Networks | |
dc.type | book | |
oapen.identifier.doi | 10.5772/intechopen.80142 | |
oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
oapen.relation.isbn | 9781789851588 | |
oapen.relation.isbn | 9781789851571 | |
oapen.relation.isbn | 9781789851427 | |
oapen.imprint | IntechOpen | |
oapen.pages | 206 |
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