Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey
It provides a review for researchers and practitioners in computer vision, but is incremental as it synthesizes existing applications without new findings.
This survey examines the use of deep learning with top-view omnidirectional cameras, covering datasets, detection, pose estimation, and activity recognition to address deployment efficiency in vision tasks.
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.