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Low-Latency Detection and Tracking of Aircraft in Very High-Resolution Video Feeds
Linköping University, Department of Computer and Information Science, Human-Centered systems.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Låglatent detektion och spårning av flygplan i högupplösta videokällor (Swedish)
Abstract [en]

Applying machine learning techniques for real-time detection and tracking of objects in very high-resolution video is a problem that has not been extensively studied. In this thesis, the practical uses of object detection for airport remote towers are explored. We present a Kalman filter-based tracking framework for low-latency aircraft tracking in very high-resolution video streams. The object detector was trained and tested on a dataset containing 3000 labelled images of aircrafts taken at Swedish airports, reaching an mAP of 90.91% with an average IoU of 89.05% on the test set. The tracker was benchmarked on remote tower video footage from Örnsköldsvik and Sundsvall using slightly modified variants of the MOT-CLEAR and ID metrics for multiple object trackers, obtaining an IDF1 score of 91.9%, and a MOTA score of 83.3%. The prototype runs the tracking pipeline on seven high resolution cameras simultaneously at 10 Hz on a single thread, suggesting large potential speed gains being attainable through parallelization.

Place, publisher, year, edition, pages
2018. , p. 54
Keywords [en]
tracking, object tracking, kalman filter, deep learning, remote tower, convolutional neural network, cnn, real-time
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-148848ISRN: LIU-IDA/LITH-EX-A--18/022—SEOAI: oai:DiVA.org:liu-148848DiVA, id: diva2:1222527
Subject / course
Computer science
Presentation
2018-06-07, Alan Turing, E-huset, Campus Valla, Linköping, 13:00 (English)
Supervisors
Examiners
Available from: 2018-06-25 Created: 2018-06-21 Last updated: 2018-06-25Bibliographically approved

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aircraft-tracking-mathiesen(3244 kB)26 downloads
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • Other locale
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Output format
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  • asciidoc
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