Unattended Object Detection Based On Blob Tracking
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, an effective approach is proposed for detecting unattended objects in visual surveillance systems. In the proposed approach, the regions of foreground are labeled as moving regions which are determined by background subtraction algorithms in a streamed video from a fixed camera. Moving blobs are used to extract information about events occurring in the environment from which the image stream is taken. Each moving region is followed separately to determine whether it forms any permanent region behind. Thus, it can be understood that it is an object left unattended by the tracked moving object. In this paper, the results are shown that obtained with the proposed approach.
Açıklama
25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY
Anahtar Kelimeler
background subtraction, blob tracking, unattended object detection
Kaynak
2017 25th Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
