mlsanityData to 7 Oct 2026

Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey

arXiv 2304.08193 ↗First posted 17 Apr 2023cs.CV cs.AI cs.LGcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 53 of its 114 references that are in the map. First posted on arXiv 17 Apr 2023.

Builds on

53 of 114 references.

References · 53

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38 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Visioncited by 23
  2. 2025Towards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognitioncited by 0
  3. 2026PMOF: A Dataset and Benchmark for Passenger Monitoring Using Overhead Fisheye Camerascited by 0