Visual Object Tracking with Deep Neural Networks
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...
-д хадгалсан:
| Формат: | Online |
|---|---|
| Хэл сонгох: | англи |
| Хэвлэсэн: |
IntechOpen
2021
|
| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20210420_9781789851588_2535 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
|
| _version_ | 1869528149278064640 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-67176 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-671762024-04-14T10:28:21Z Visual Object Tracking with Deep Neural Networks Luigi Mazzeo, Pier Ramakrishnan, Srinivasan Spagnolo, Paolo Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 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. 2021-04-20T16:05:27Z 2021-04-20T16:05:27Z 2019 book ONIX_20210420_9781789851588_2535 9781789851588 9781789851571 9781789851427 https://directory.doabooks.org/handle/20.500.12854/67176 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/8725/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.80142 10.5772/intechopen.80142 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789851588 9781789851571 9781789851427 IntechOpen 206 open access |
| spellingShingle | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Visual Object Tracking with Deep Neural Networks |
| title | Visual Object Tracking with Deep Neural Networks |
| title_full | Visual Object Tracking with Deep Neural Networks |
| title_fullStr | Visual Object Tracking with Deep Neural Networks |
| title_full_unstemmed | Visual Object Tracking with Deep Neural Networks |
| title_short | Visual Object Tracking with Deep Neural Networks |
| title_sort | visual object tracking with deep neural networks |
| topic | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20210420_9781789851588_2535 |