التفاصيل البيبلوغرافية
| العنوان: |
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey |
| المؤلفون: |
Yu, Jingrui, Grassi, Ana Cecilia Perez, Hirtz, Gangolf |
| سنة النشر: |
2023 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning |
| الوصف: |
A large field-of-view fisheye camera allows for capturing a large area with minimal numbers of cameras when they are mounted on a high position facing downwards. This top-view omnidirectional setup greatly reduces the work and cost for deployment compared to traditional solutions with multiple perspective cameras. In recent years, deep learning has been widely employed for vision related tasks, including for such omnidirectional settings. In this survey, we look at the application of deep learning in combination with omnidirectional top-view cameras, including the available datasets, human and object detection, human pose estimation, activity recognition and other miscellaneous applications. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2304.08193 |
| رقم الانضمام: |
edsarx.2304.08193 |
| قاعدة البيانات: |
arXiv |