A real-time approach for autonomous detection and tracking of moving objects from UAV

Pouria Sadeghi Tehran; Christopher Clarke; Plamen Parvanov Angelov

doi:10.1109/EALS.2014.7009502

A real-time approach for autonomous detection and tracking of moving objects from UAV

Pouria Sadeghi Tehran, Christopher Clarke, Plamen Parvanov Angelov

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

16 Citations (SciVal)

Abstract

A new approach to autonomously detect and track moving objects in a video captured by a moving camera from a UAV in real-time is proposed in this paper. The introduced approach replaces the need for a human operator to perform video analytics by autonomously detecting moving objects and clustering them for tracking purposes. The effectiveness of the introduced approach is tested on the footage taken from a real UAV and the evaluation results are demonstrated in this paper.

Original language	English
Title of host publication	2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS)
Publisher	IEEE
Pages	43-49
Number of pages	7
ISBN (Print)	9781479944958
DOIs	https://doi.org/10.1109/EALS.2014.7009502
Publication status	Published - 15 Jan 2015

Bibliographical note

IEEE Symposium Series on Computational Intelligence ; Conference date: 09-12-2014 Through 12-12-2014

Keywords

autonomous object detection
mobile visual surveillance platform
UAV

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10.1109/EALS.2014.7009502

https://eprints.lancs.ac.uk/id/eprint/71402

Cite this

A real-time approach for autonomous detection and tracking of moving objects from UAV. / Sadeghi Tehran, Pouria; Clarke, Christopher; Angelov, Plamen Parvanov.
2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). IEEE, 2015. p. 43-49.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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A real-time approach for autonomous detection and tracking of moving objects from UAV

Abstract

Bibliographical note

Keywords

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Cite this