Change search
ReferencesLink to record
Permanent link

Direct link
Design of an Algorithm for Aircraft Detection and Tracking with a Multi-coordinate VAUDEO System
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

The combination of a video camera with an acoustic vector sensor (AVS) opens new possibilities in environment awareness applications. The goal of this thesis is the design of an algorithm for detection and tracking of low-flying aircraft using a multi-coordinate VAUDEO system. A commercial webcam placed in line with an AVS in a ground array are used to record real low-flying aircraft data at Teuge international airport. Each frame, the algorithm analyzes a matrix of three orthogonal acoustic particle velocity signals and one acoustic pressure signal using the Singular Value Decomposition to estimate the Direction of Arrival, DoA of propeller aircraft sound. The DoA data is then applied to a Kalman filter and its output is used later on to narrow the region of video frame processed. Background subtraction is applied followed by a Gaussian-weighted intensity mask to assign high priority to moving objects which are closer to the sound source estimated position. The output is applied to another Kalman filter to improve the accuracy of the aircraft location estimation. The performance evaluation of the algorithm proved that it is comparable to the performances of state-of-the-art video alone based algorithms. In conclusion, the combination of video and directional audio increases the accuracy of propeller aircraft detection and tracking comparing to reported previous work using audio alone.

Place, publisher, year, edition, pages
2014. , 43 p.
Keyword [en]
Acoustic Vector Sensor, Kalman Filter, Aircraft Tracking, Acoustic Eyes, Acoustic Particle Velocity
Keyword [sv]
Master of Science Programme in Electrical Engineering with emphasis on Signal Processing /Masterprogram i Elektroteknik med inriktning mot signalbehandling
National Category
Computer Science Signal Processing Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:bth-2633Local ID: diva2:829919
+593 980826278Available from: 2015-04-22 Created: 2014-12-11 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(3033 kB)227 downloads
File information
File name FULLTEXT01.pdfFile size 3033 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Applied Signal Processing
Computer ScienceSignal ProcessingElectrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 227 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 147 hits
ReferencesLink to record
Permanent link

Direct link