The object tracking algorithm using dimensional based detection for public street environment; Eurasian Physical Technical Journal; Vol. 17, No. 2

Opis bibliograficzny
Parent link:Eurasian Physical Technical Journal
Vol. 17, No. 2.— 2021.— [P. 123-127]
Korporacja: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Kolejni autorzy: Matveev I. G. Ivan Grigorjevich, Karpov K. A. Kirill Aleksandrovich, Yurchenko A. V. Aleksey Vasilievich, Siemens E. Eduard
Streszczenie:Title screen
The paper proposes an approach to object tracking for public street environments using dimensional based object detection algorithm. Besides the tracking functionality, the proposed algorithm improves the detection accuracy of the dimensional based object detection algorithm. The proposed tracking approach uses detection information obtained from multiple cameras which are structured as a mesh network. Conducted experiments performed in a real-world environment have shown 10 to 40 percent higher detection accuracy that has proved the proposed concept. The tracking algorithm requires negligible computational resources that make the algorithm especially applicable for low-performance Internet of things infrastructure.
Język:angielski
Wydane: 2021
Hasła przedmiotowe:
Dostęp online:https://doi.org/10.31489/2020No2/123-127
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665154