The object tracking algorithm using dimensional based detection for public street environment

The object tracking algorithm using dimensional based detection for public street environment

Bibliographic Details
Parent link:Eurasian Physical Technical Journal
Vol. 17, No. 2.— 2021.— [P. 123-127]
Corporate Author: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Other Authors: Matveev I. G. Ivan Grigorjevich, Karpov K. A. Kirill Aleksandrovich, Yurchenko A. V. Aleksey Vasilievich, Siemens E. Eduard
Summary: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.
Published: 2021
Subjects:
электронный ресурс
труды учёных ТПУ
object tracking, smart city
smart city
object detection
street lighting
отслеживание
объекты
Умный город
уличное освещение
алгоритмы
Online Access:https://doi.org/10.31489/2020No2/123-127
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665154

Similar Items

Similar Items