A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Eos Assoc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study combined SIFT and SSA to propose a novel algorithm for real-time object tracking. The proposed algorithm utilizes an intermediate fixed-size buffer and a modified SSA algorithm. Since the complete reconstruction step of the SSA algorithm was unnecessary, it was considerably simplified. In addition, the execution time of a Matlab implementation of the SSA algorithm was compared with a respective C++ implementation. Moreover, the performance of the two different matching algorithms in the detection, the FlannBasedMatcher and Brute-Force matcher algorithms of the OpenCV library, was compared.
Açıklama
Anahtar Kelimeler
object tracking, object detection, computer vision, SIFT, SSA
Kaynak
Engineering Technology & Applied Science Research
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
12
Sayı
4
