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ATDT: Autonomous Template-based Detection and Tracking of objects from airborne camera

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Publication date2015
Host publicationIntelligent Systems 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications
EditorsD. Filev, J. Jabłkowski, J. Kacprzyk, M. Krawczak, I. Popchev, L. Rutkowski, V. Sgurev, E. Sotirova, P. Szynkarczyk, S. Zadrozny
PublisherSpringer
Pages555-565
Number of pages11
ISBN (Electronic)9783319113104
ISBN (Print)9783319113098
<mark>Original language</mark>English
EventIEEE Intelligent Systems IS'14 - Poland, United Kingdom
Duration: 24/09/201426/09/2014

Conference

ConferenceIEEE Intelligent Systems IS'14
Country/TerritoryUnited Kingdom
Period24/09/1426/09/14

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume323
ISSN (Print)2194-5367

Conference

ConferenceIEEE Intelligent Systems IS'14
Country/TerritoryUnited Kingdom
Period24/09/1426/09/14

Abstract

This paper describes the proposed ATDT approach for autonomous template-based detection and tracking from a moving airborne camera or an electro-optical (EO) device. The advantages of the proposed method ATDT is that it is fully autonomous (no human involvement is needed; in the experiment
the human was only involved to navigate the UAV not for any of the steps of the video analysis) replacing the need of human operators for video analytics tasks, it can be used on board UAV, is computationally lean and can operate in real time.