Understanding head-mounted display FOV in maritime search and rescue object detection

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

Understanding head-mounted display FOV in maritime search and rescue object detection. / Soon, Susannah; Lugmayr, Artur; Woods, Andrew; Tan, Tele.

Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018. IEEE, 2019. p. 116-119 8613642.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Soon, S, Lugmayr, A, Woods, A & Tan, T 2019, Understanding head-mounted display FOV in maritime search and rescue object detection. in Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018., 8613642, IEEE, pp. 116-119, IEEE International Conference on Artificial Intelligence and Virtual Reality, Taichung, Taiwan, Republic of China, 10/12/2018. https://doi.org/10.1109/AIVR.2018.00023

APA

Soon, S., Lugmayr, A., Woods, A., & Tan, T. (2019). Understanding head-mounted display FOV in maritime search and rescue object detection. In Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 (pp. 116-119). [8613642] IEEE. https://doi.org/10.1109/AIVR.2018.00023

Vancouver

Soon S, Lugmayr A, Woods A, Tan T. Understanding head-mounted display FOV in maritime search and rescue object detection. In Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018. IEEE. 2019. p. 116-119. 8613642 https://doi.org/10.1109/AIVR.2018.00023

Author

Soon, Susannah ; Lugmayr, Artur ; Woods, Andrew ; Tan, Tele. / Understanding head-mounted display FOV in maritime search and rescue object detection. Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018. IEEE, 2019. pp. 116-119

Bibtex - Download

@inproceedings{53d966f4d8b540f9865a8b03fbae2816,
title = "Understanding head-mounted display FOV in maritime search and rescue object detection",
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.",
keywords = "AI, Central vision, Field of view, FOV, Head Mounted Display, Human visual system, Human-Computer-Interaction, Maritime search and rescue, Peripheral vision",
author = "Susannah Soon and Artur Lugmayr and Andrew Woods and Tele Tan",
year = "2019",
month = "1",
day = "15",
doi = "10.1109/AIVR.2018.00023",
language = "English",
pages = "116--119",
booktitle = "Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018",
publisher = "IEEE",
address = "United States",

}

RIS - Download

TY - GEN

T1 - Understanding head-mounted display FOV in maritime search and rescue object detection

AU - Soon, Susannah

AU - Lugmayr, Artur

AU - Woods, Andrew

AU - Tan, Tele

PY - 2019/1/15

Y1 - 2019/1/15

N2 - 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.

AB - 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.

KW - AI

KW - Central vision

KW - Field of view

KW - FOV

KW - Head Mounted Display

KW - Human visual system

KW - Human-Computer-Interaction

KW - Maritime search and rescue

KW - Peripheral vision

UR - http://www.scopus.com/inward/record.url?scp=85062172920&partnerID=8YFLogxK

U2 - 10.1109/AIVR.2018.00023

DO - 10.1109/AIVR.2018.00023

M3 - Conference contribution

SP - 116

EP - 119

BT - Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018

PB - IEEE

ER -

ID: 38813181