TY  - JOUR
T1  - Akan Görüntülerde Kavga tespiti için DenseNet121 ve Transfer Öğrenme Tabanlı Video Analiz Yöntemi
TT  - DenseNet121 and Transfer Learning Based Video Analysis Method for Fight Detection in Streaming Images
AU  - Apaydın, Nafiye Nur
AU  - Sari, Elif Feyza
AU  - Yaman, Orhan
AU  - Karaköse, Mehmet
PY  - 2025
DA  - November
Y2  - 2025
DO  - 10.21597/jist.1649399
JF  - Journal of the Institute of Science and Technology
JO  - J. Inst. Sci. and Tech.
PB  - Iğdır Üniversitesi
WT  - DergiPark
SN  - 2536-4618
SP  - 1165
EP  - 1177
VL  - 15
IS  - 4
LA  - tr
AB  - Ani gelişen kavga olaylarının erken tespiti ve bu olaylara hızlı ve etkili bir şekilde müdahale edilmesi, kamu güvenliğinin sağlanması ve olası olumsuz durumların önlenmesi açısından büyük bir öneme sahiptir. Günümüz teknolojik imkanları doğrultusunda, video tabanlı otomatik kavga tespit sistemleri, güvenlik güçlerine ve yetkililere zamanında uyarılar sağlayarak proaktif önlemler alınmasını mümkün kılmaktadır. Bu çalışmada, kavga (fight) ve kavga içermeyen (noFight) durumların doğru bir şekilde sınıflandırılabilmesi amacıyla derin öğrenme tabanlı bir yöntem önerilmektedir. Özellikle, görüntü işleme alanında başarılı sonuçlar elde eden DenseNet121 modeli kullanılarak transfer öğrenme yöntemiyle video tabanlı kavga tespiti gerçekleştirilmiştir. Deneysel çalışmalarda, literatürde yaygın olarak kullanılan Peliculas ve Hockey veri setleri değerlendirilmiş olup, önerilen yöntem ile Peliculas veri seti üzerinde %100 doğruluk (Accuracy), Hockey veri seti üzerinde ise %99.32 doğruluk elde edilmiştir. Elde edilen yüksek başarı oranları, önerilen yöntemin kavga tespitinde etkin bir şekilde kullanılabileceğini göstermektedir.
KW  - Peliculas veri seti
KW  - Hockey veri seti
KW  - Anahtar kare çıkarımı
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UR  - https://doi.org/10.21597/jist.1649399
L1  - https://dergipark.org.tr/tr/download/article-file/4652248
ER  -