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

Translated title of the contribution: Dataset augmentation for accurate object detection

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

Anadolu University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Translated title of the contribution	Dataset augmentation for accurate object detection
Original language	Turkish
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404807
Publication status	Published - 5 Jul 2018
Externally published	Yes
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018

Publication series

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

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	2/05/18 → 5/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/SIU.2018.8404807

Cite this

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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title = "Y{\"u}ksek doǧrulukta nesne tespiti i{\c c}in veri k{\"u}mesi artirma",

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",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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U2 - 10.1109/SIU.2018.8404807

DO - 10.1109/SIU.2018.8404807

M3 - Konferans katkısı

AN - SCOPUS:85050790630

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

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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

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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

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