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

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

Dettagli Bibliografici
Parent link:Eurasian Physical Technical Journal
Vol. 17, No. 2.— 2021.— [P. 123-127]
Ente Autore: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Altri autori: Matveev I. G. Ivan Grigorjevich, Karpov K. A. Kirill Aleksandrovich, Yurchenko A. V. Aleksey Vasilievich, Siemens E. Eduard
Riassunto: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.
Lingua:inglese
Pubblicazione: 2021
Soggetti:
электронный ресурс
труды учёных ТПУ
object tracking, smart city
smart city
object detection
street lighting
отслеживание
объекты
Умный город
уличное освещение
алгоритмы
Accesso online:https://doi.org/10.31489/2020No2/123-127
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665154

Documenti analoghi

Documenti analoghi