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

Susannah Soon; Artur Lugmayr; Andrew Woods; Tele Tan

doi:10.1109/AIVR.2018.00023

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

Susannah Soon, Artur Lugmayr, Andrew Woods, Tele Tan

Elokuvataiteen laitos

Curtin University

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

4 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018
Kustantaja	IEEE
Sivut	116-119
Sivumäärä	4
ISBN (elektroninen)	9781538692691
DOI - pysyväislinkit	https://doi.org/10.1109/AIVR.2018.00023
Tila	Julkaistu - 15 tammik. 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Artificial Intelligence and Virtual Reality - Taichung, Taiwan Kesto: 10 jouluk. 2018 → 12 jouluk. 2018 Konferenssinumero: 1

Conference

Conference	IEEE International Conference on Artificial Intelligence and Virtual Reality
Lyhennettä	AIVR
Maa/Alue	Taiwan
Kaupunki	Taichung
Ajanjakso	10/12/2018 → 12/12/2018

Pääsy asiakirjaan

10.1109/AIVR.2018.00023

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@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 = jan,

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",

note = "IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR ; Conference date: 10-12-2018 Through 12-12-2018",

}

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

Understanding head-mounted display FOV in maritime search and rescue object detection. / Soon, Susannah; Lugmayr, Artur; Woods, Andrew et al.
Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018. IEEE, 2019. s. 116-119 8613642.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

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

N1 - Conference code: 1

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 article in proceedings

AN - SCOPUS:85062172920

SP - 116

EP - 119

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

PB - IEEE

T2 - IEEE International Conference on Artificial Intelligence and Virtual Reality

Y2 - 10 December 2018 through 12 December 2018

ER -

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

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