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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published
Publication date12/2014
Host publication2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS)
Place of PublicationPiscataway, N. J.
PublisherIEEE
Pages43-49
Number of pages7
ISBN (print)9781479944958
<mark>Original language</mark>English
EventIEEE Symposium Series on Computational Intelligence - Orlando, USA, Florida, United Kingdom
Duration: 9/12/2014 → 12/12/2014

Conference

ConferenceIEEE Symposium Series on Computational Intelligence
Country/TerritoryUnited Kingdom
CityFlorida
Period9/12/14 → 12/12/14

Conference

ConferenceIEEE Symposium Series on Computational Intelligence
Country/TerritoryUnited Kingdom
CityFlorida
Period9/12/14 → 12/12/14

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.