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...
| Otros Autores: | , , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
IntechOpen
2019
2019. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009653853506719 |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (206 pages) : illustrations some color |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9781789851427 9781789851588 |
