Yüksek doǧrulukta nesne tespiti için veri kümesi artirma

Muhammed Cagri Uysal; Tugay Karapinar; Burak Benligiray; Cihan Topal

doi:10.1109/SIU.2018.8404807

Yüksek doǧrulukta nesne tespiti için veri kümesi artirma

Muhammed Cagri Uysal
, Tugay Karapinar
, Burak Benligiray
, Cihan Topal

Anadolu University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Hand detection has many important applications in human-computer interaction. But hand detection is a difficult problem because hand image can vary greatly in images. Vision based hand interfaces require fast and extremely robust hand detection. Large data sets are needed in the process of creating classifiers to detect. This study proposes an alternative method for creating positive images that the classifier needs. This method, which is to be presented, is aimed at obtaining a large number of positive images autonomously from a certain number of hand images, instead of annotating positive images under human supervision. Therefore, less time have been spent and a wider set of data has been achieved.

Tercüme edilen katkı başlığı	Dataset augmentation for accurate object detection
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1-4
Sayfa sayısı	4
ISBN (Elektronik)	9781538615010
DOI'lar	https://doi.org/10.1109/SIU.2018.8404807
Yayın durumu	Yayınlandı - 5 Tem 2018
Harici olarak yayınlandı	Evet
Etkinlik	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Süre: 2 May 2018 → 5 May 2018

Yayın serisi

Adı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	2/05/18 → 5/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

Computer vision
Hand detection
Human-computer interaction

Belgeye Erişim

10.1109/SIU.2018.8404807

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Uysal, M. C., Karapinar, T., Benligiray, B., & Topal, C. (2018). Yüksek doǧrulukta nesne tespiti için veri kümesi artirma. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404807

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abstract = "Hand detection has many important applications in human-computer interaction. But hand detection is a difficult problem because hand image can vary greatly in images. Vision based hand interfaces require fast and extremely robust hand detection. Large data sets are needed in the process of creating classifiers to detect. This study proposes an alternative method for creating positive images that the classifier needs. This method, which is to be presented, is aimed at obtaining a large number of positive images autonomously from a certain number of hand images, instead of annotating positive images under human supervision. Therefore, less time have been spent and a wider set of data has been achieved.",

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note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 ; Conference date: 02-05-2018 Through 05-05-2018",

year = "2018",

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doi = "10.1109/SIU.2018.8404807",

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}

Uysal, MC, Karapinar, T, Benligiray, B & Topal, C 2018, Yüksek doǧrulukta nesne tespiti için veri kümesi artirma. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 2/05/18. https://doi.org/10.1109/SIU.2018.8404807

Yüksek doǧrulukta nesne tespiti için veri kümesi artirma. / Uysal, Muhammed Cagri; Karapinar, Tugay; Benligiray, Burak et al.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Yüksek doǧrulukta nesne tespiti için veri kümesi artirma

AU - Uysal, Muhammed Cagri

AU - Karapinar, Tugay

AU - Benligiray, Burak

AU - Topal, Cihan

PY - 2018/7/5

Y1 - 2018/7/5

N2 - Hand detection has many important applications in human-computer interaction. But hand detection is a difficult problem because hand image can vary greatly in images. Vision based hand interfaces require fast and extremely robust hand detection. Large data sets are needed in the process of creating classifiers to detect. This study proposes an alternative method for creating positive images that the classifier needs. This method, which is to be presented, is aimed at obtaining a large number of positive images autonomously from a certain number of hand images, instead of annotating positive images under human supervision. Therefore, less time have been spent and a wider set of data has been achieved.

AB - Hand detection has many important applications in human-computer interaction. But hand detection is a difficult problem because hand image can vary greatly in images. Vision based hand interfaces require fast and extremely robust hand detection. Large data sets are needed in the process of creating classifiers to detect. This study proposes an alternative method for creating positive images that the classifier needs. This method, which is to be presented, is aimed at obtaining a large number of positive images autonomously from a certain number of hand images, instead of annotating positive images under human supervision. Therefore, less time have been spent and a wider set of data has been achieved.

KW - Computer vision

KW - Hand detection

KW - Human-computer interaction

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DO - 10.1109/SIU.2018.8404807

M3 - Konferans katkısı

AN - SCOPUS:85050790630

T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

SP - 1

EP - 4

BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Y2 - 2 May 2018 through 5 May 2018

ER -

Uysal MC, Karapinar T, Benligiray B, Topal C. Yüksek doǧrulukta nesne tespiti için veri kümesi artirma. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). doi: 10.1109/SIU.2018.8404807

Yüksek doǧrulukta nesne tespiti için veri kümesi artirma

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap