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

Sadeghi Tehran, Pouria and Clarke, Christopher and Angelov, Plamen Parvanov (2014) A real-time approach for autonomous detection and tracking of moving objects from UAV. In: 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). IEEE, GBR, pp. 43-49. ISBN 9781479944958

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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.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1707
Subjects:
ID Code:
71402
Deposited By:
Deposited On:
24 Oct 2014 09:12
Refereed?:
Yes
Published?:
Published
Last Modified:
10 Jun 2020 22:42