Derin Öğrenme ile Kalabalık Analizi Üzerine Detaylı Bir Araştırma

Year 2018, , 263 - 286, 31.07.2018

Merve Ayyüce Kızrak , Bülent Bolat

https://doi.org/10.17671/gazibtd.419205

Cited By: 39

Abstract

Yapay
sinir ağları ve makine öğrenmesi, uzun yıllardır birçok problemin çözümünde kullanılmıştır.
Problemlerin ve modellerin karmaşıklaşması ve veri sayısındaki artış hesaplama
yükünü de beraberinde getirmiştir. Bu çalışmada yapay sinir ağlarından derin
öğrenmeye tüm geçiş süreci, modeller ve pratik uygulamalar kısa ve öz
gösterilmiştir. Ayrıca donanım, yazılım ve kullanılan kütüphaneler hakkında da
bilgiler verilmiştir. Özel olarak kalabalık analizi için kullanılan geleneksel
yöntemler özetlenmiştir. Kalabalık analizi için literatürdeki derin öğrenme
yaklaşımları detaylıca anlatılmış ve veri kümeleri tanıtılmıştır. Ayrıca son
yıllarda yapılmış çalışmalar analiz edilmiş ve karşılaştırılmıştır. Sonuç
olarak, kalabalık analizi, derin öğrenme yardımıyla başarılı sonuçlar alınan
hem akademik hem de pratik bir çalışma alanıdır.

Keywords

derin öğrenme, yapay sinir ağları, evrişimli sinir ağları, özyinelemeli sinir ağları, kalabalık analizi

A Comprehensive Survey of Deep Learning in Crowd Analysis

Abstract

Artificial
neural networks and machine learning have been used to solve many problems for
decades. The complexity of the problems and models and the increase in the
number of data also brought with it the computation burden. In this study, the
whole transition process from artificial neural networks to deep learning,
models and applications are briefly demonstrated. Additionally information
about hardware, software, and used libraries is also provided. In particular,
canonical methods for crowd analysis have been summarized. Deep learning
approaches in the literature are pointed out in depth for crowd analysis and
datasets are overviewed. Furthermore, studies done in recent years have been
analyzed and compared. Consequently, crowd analysis is both an academic and a
practical field of study where successful results evaluation. As a result,
crowd analysis is both an academic and a practical field where fruitful results
are achieved with the help of deep learning.

Keywords

deep learning, artificial neural networks, convolutional neural networks, recurrentneural networks, crowd analysis

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