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...
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
IntechOpen
2021
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| Subjects: | |
| Acceso en liña: | ONIX_20210420_9781789851588_2535 |
| Tags: |
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| Summary: | 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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