PROHIBITED ZONE INTRUSION DETECTION
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Tarih
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, using surveillance videos, an intrusion detection to prohibited zone algorithm is developed. The forbidden zone determined by the operator was classified using the support vector machine classifier and intrusion detection was performed. For training the classifier, positive samples are selected by the operator. Proposed algorithm further reduces the false alarms with respect to the existing methods.
Açıklama
26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
Anahtar Kelimeler
Intrusion Dedection, Histogram of Oriented Gradients (HOG), Support Vector Machine (SVM), Machine Learning
Kaynak
2018 26th Signal Processing and Communications Applications Conference (Siu)








