Real-Time Processing of High-Resolution Video and 3D Model-Based Tracking for Remote Towers

被引:1
|
作者
Barrowclough O.J.D. [1 ]
Briseid S. [1 ]
Muntingh G. [1 ]
Viksand T. [1 ]
机构
[1] SINTEF Digital, Forskningsveien 1, Oslo
基金
欧盟地平线“2020”;
关键词
3d Modelling; Machine learning; Object tracking; Remote tower; Video processing;
D O I
10.1007/s42979-020-00304-x
中图分类号
学科分类号
摘要
During the past decade, a new approach to providing air traffic services to airports from a remote location has been established, known as remote or digital tower. High quality video data is a core component in remote tower operations as it inherently contains a huge amount of information on which a controller can base decisions. The total resolution of a typical remote tower setup often exceeds 25 million RGB pixels and is captured at 30 frames per second or more. It is thus a challenge to efficiently process all the data in such a way as to provide relevant real-time enhancements to the controller. In this paper we describe the development of number of improvements and discuss how they can be implemented efficiently on a single workstation by decoupling processes, implementing attention mechanisms and utilizing hardware for parallel computing. © 2020, The Author(s).
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