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

Manylion Llyfryddiaeth
Parent link:Eurasian Physical Technical Journal
Vol. 17, No. 2.— 2021.— [P. 123-127]
Awdur Corfforaethol: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Awduron Eraill: Matveev I. G. Ivan Grigorjevich, Karpov K. A. Kirill Aleksandrovich, Yurchenko A. V. Aleksey Vasilievich, Siemens E. Eduard
Crynodeb: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.
Iaith:Saesneg
Cyhoeddwyd: 2021
Pynciau:
Mynediad Ar-lein:https://doi.org/10.31489/2020No2/123-127
Fformat: Electronig Pennod Llyfr
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665154