The object tracking algorithm using dimensional based detection for public street environment / I. G. Matveev, K. A. Karpov, A. V. Yurchenko, E. Siemens
Уровень набора: Eurasian Physical Technical JournalЯзык: английский.Страна: .Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: 14 tit.].Тематика: электронный ресурс | труды учёных ТПУ | object tracking, smart city | smart city | object detection | street lighting | отслеживание | объекты | Умный город | уличное освещение | алгоритмы Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 14 tit.]
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.
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