Airborne Visual Tracking of UAVs with a Pan-Tilt-Zoom Camera

Athanasios Tsoukalas, Nikolaos Evangeliou, Nikolaos Giakoumidis, Anthony Tzes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The visual detection and tracking of UAVs using a Pan-Tilt-Zoom (PTZ) camera attached to another aerial platform is the scope of this article. The long-term tracker is performing image background subtraction using visual homography and is used to initialize a short term tracker that works in parallel to enhance the tracking for various motions. The moving UAV is detected using optical flow concepts and its bounding box encapsulates its detected features. A Kalman predictor provides a robust smooth tracking of the bounding box in the temporary absence of a detected UAV. The camera pans and tilts so as the tracked UAV is centered within its Field-of-View and zooms in order to expand the UAV's view. Experimental results are offered using an evader-tracker UAV-group to validate the presented tracking algorithm.

Original languageEnglish (US)
Title of host publicationROBOVIS 2020 - Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems
EditorsPeter Galambos, Kurosh Madani
PublisherSciTePress
Pages90-97
Number of pages8
ISBN (Electronic)9789897584794
StatePublished - 2020
Event2020 International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2020 - Virtual, Online
Duration: Nov 4 2020Nov 6 2020

Publication series

NameROBOVIS 2020 - Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems

Conference

Conference2020 International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2020
CityVirtual, Online
Period11/4/2011/6/20

Keywords

  • Optical flow
  • Variable object tracking
  • Visual homography

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

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