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dc.contributor.editorLuigi Mazzeo, Pier
dc.contributor.editorRamakrishnan, Srinivasan
dc.contributor.editorSpagnolo, Paolo
dc.date.accessioned2021-04-20T16:05:27Z
dc.date.available2021-04-20T16:05:27Z
dc.date.issued2019
dc.identifierONIX_20210420_9781789851588_2535
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67176
dc.description.abstractVisual 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.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherNeural networks & fuzzy systems
dc.titleVisual Object Tracking with Deep Neural Networks
dc.typebook
oapen.identifier.doi10.5772/intechopen.80142
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781789851588
oapen.relation.isbn9781789851571
oapen.relation.isbn9781789851427
oapen.imprintIntechOpen
oapen.pages206


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