Abstract
Object detection when viewing Head Mounted Display (HMD) imagery for maritime Search and Rescue (SAR) detection tasks poses many challenges, for example, objects are difficult to distinguish due to low contrast or low observability. We survey existing Artificial Intelligence (AI) image processing algorithms that improve object detection performance. We also examine central and peripheral vision (HVS) and their relation to Field of View (FOV) within the Human Visual System when viewing such images using HMDs. We present results from our user-study which simulates different maritime scenes used in object detection tasks. Users are tested viewing sample images with different visual features over different FOVs, to inform the development of an AI algorithm for object detection.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 |
| Publisher | IEEE |
| Pages | 116-119 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538692691 |
| DOIs | |
| Publication status | Published - 15 Jan 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE International Conference on Artificial Intelligence and Virtual Reality - Taichung, Taiwan, Republic of China Duration: 10 Dec 2018 → 12 Dec 2018 Conference number: 1 |
Conference
| Conference | IEEE International Conference on Artificial Intelligence and Virtual Reality |
|---|---|
| Abbreviated title | AIVR |
| Country/Territory | Taiwan, Republic of China |
| City | Taichung |
| Period | 10/12/2018 → 12/12/2018 |
Keywords
- AI
- Central vision
- Field of view
- FOV
- Head Mounted Display
- Human visual system
- Human-Computer-Interaction
- Maritime search and rescue
- Peripheral vision