Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme

Fatma Gülşah TAN, (Süleyman Demirel Üniversitesi, Rektörlük, Bilgi İşlem Daire Başkanlığı, Isparta, Türkiye)
Asım Sinan YÜKSEL, (Süleyman Demirel Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Isparta, Türkiye)
Erdal AYDEMİR, (Süleyman Demirel Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Isparta, Türkiye)
Mevlüt ERSOY (Süleyman Demirel Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Isparta, Türkiye)
Avrupa Bilim ve Teknoloji Dergisi
30 9
Yıl: 2021 Cilt: 0 Sayı: 25 Sayfa Aralığı: 159 - 171 Metin Dili: Türkçe DOI: 10.31590/ejosat.878552 İndeks Tarihi: 04-12-2021

Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme

Öz:
Derin öğrenme, son zamanlarda insan hatalarını en aza indirmesiyle popüler olan yapay zekâ yaklaşımlarındandır. Derin öğrenme teknikleri birçok alanda büyük miktardaki veri kullanımı ile başarılı bir şekilde algılama, yorumlama yapabilme yeteneğine sahiptir.Özellikle görüntü işleme alanında birikmiş etiketli verilerdeki hızlı artış derin öğrenme algoritmalarına yönelmeyi zorunlu halegetirmiştir. Bu alanlardaki verilerin giderek artmasıyla büyük verilerden yararlı bilgiyi ayırmak ve metin, görüntü, ses dosyalarınaanlam kazandırmak amacıyla derin öğrenme yöntemleri kullanılmaktadır. Son yıllarda, nesne tespiti ve nesne takibi alanında yapılançalışmalarda artış görülmektedir. Videolar gibi durağan olmayan görüntüler üzerinde tespit ve analiz sonrasında takip edilecek olanbir nesne varsa anlamlı bilgiler çıkarmak daha zor olmaktadır. Bu gibi durumlarda derin öğrenme algoritmalarının kullanılması görüntü işleme problemlerinin kolaylıkla çözüme kavuşturulabilmesini sağlamaktadır. Bu çalışmanın amacı; derin öğrenme ile nesnetespiti ve takibi konusunda yapılan uygulamaları incelemek, son gelişmeleri anlatmak, popüler kütüphaneler, veri setleri, algoritmalarhakkında bilgi vererek bu alanda çalışacak olan araştırmacılara yardımcı olmaktır.
Anahtar Kelime:

A Review On Object Detection And Tracking With Deep Learning Techniques

Öz:
Deep learning is one of the artificial intelligence approaches that has recently become popular for minimizing human error. Deeplearning techniques have the ability to successfully detect and interpret with the use of large amounts of data in many areas.Especially, the rapid increase in labeled data accumulated in the field of image processing has made it necessary to turn to deeplearning algorithms. With the increasing data in these areas, deep learning methods are used to separate useful information from bigdata and to give meaning to text, images and audio files. In recent years, there has been an increase in the studies conducted in thefield of object detection and object tracking. If there is an object to be followed after detection and analysis on non-stationary imagessuch as videos, it is more difficult to extract meaningful information. In such cases, the use of deep learning algorithms enables imageprocessing problems to be solved easily. The aim of this study is to examine the applications of deep learning and object detection andtracking, to explain the latest developments, to help researchers who will work in this field by giving information about popularlibraries, data sets, algorithms.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Derleme Erişim Türü: Erişime Açık
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APA tan f, Yüksel A, AYDEMİR E, ERSOY M (2021). Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. , 159 - 171. 10.31590/ejosat.878552
Chicago tan fatma gülşah,Yüksel Asım,AYDEMİR Erdal,ERSOY Mevlüt Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. (2021): 159 - 171. 10.31590/ejosat.878552
MLA tan fatma gülşah,Yüksel Asım,AYDEMİR Erdal,ERSOY Mevlüt Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. , 2021, ss.159 - 171. 10.31590/ejosat.878552
AMA tan f,Yüksel A,AYDEMİR E,ERSOY M Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. . 2021; 159 - 171. 10.31590/ejosat.878552
Vancouver tan f,Yüksel A,AYDEMİR E,ERSOY M Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. . 2021; 159 - 171. 10.31590/ejosat.878552
IEEE tan f,Yüksel A,AYDEMİR E,ERSOY M "Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme." , ss.159 - 171, 2021. 10.31590/ejosat.878552
ISNAD tan, fatma gülşah vd. "Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme". (2021), 159-171. https://doi.org/10.31590/ejosat.878552
APA tan f, Yüksel A, AYDEMİR E, ERSOY M (2021). Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. Avrupa Bilim ve Teknoloji Dergisi, 0(25), 159 - 171. 10.31590/ejosat.878552
Chicago tan fatma gülşah,Yüksel Asım,AYDEMİR Erdal,ERSOY Mevlüt Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. Avrupa Bilim ve Teknoloji Dergisi 0, no.25 (2021): 159 - 171. 10.31590/ejosat.878552
MLA tan fatma gülşah,Yüksel Asım,AYDEMİR Erdal,ERSOY Mevlüt Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. Avrupa Bilim ve Teknoloji Dergisi, vol.0, no.25, 2021, ss.159 - 171. 10.31590/ejosat.878552
AMA tan f,Yüksel A,AYDEMİR E,ERSOY M Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. Avrupa Bilim ve Teknoloji Dergisi. 2021; 0(25): 159 - 171. 10.31590/ejosat.878552
Vancouver tan f,Yüksel A,AYDEMİR E,ERSOY M Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme. Avrupa Bilim ve Teknoloji Dergisi. 2021; 0(25): 159 - 171. 10.31590/ejosat.878552
IEEE tan f,Yüksel A,AYDEMİR E,ERSOY M "Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme." Avrupa Bilim ve Teknoloji Dergisi, 0, ss.159 - 171, 2021. 10.31590/ejosat.878552
ISNAD tan, fatma gülşah vd. "Derin Öğrenme Teknikleri İle Nesne Tespiti Ve Takibi Üzerine Birİnceleme". Avrupa Bilim ve Teknoloji Dergisi 25 (2021), 159-171. https://doi.org/10.31590/ejosat.878552
Sayfa Oluşturulma Tarihi
23-04-2024 20:28

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