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

I. G. Matveev, K. A. Karpov, A. V. Yurchenko, E. Siemens

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)123-127
Number of pages5
JournalEurasian Physical Technical Journal
Volume17
Issue number2
DOIs
Publication statusPublished - 2021

Keywords

  • Object detection
  • Object tracking
  • Smart city
  • Street lighting

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)
  • Energy(all)
  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'The object tracking algorithm using dimensional based detection for public street environment'. Together they form a unique fingerprint.

Cite this