Lampert, Thomas Andrew and O'Keefe, Simon orcid.org/0000-0001-5957-2474 (2013) On the detection of tracks in spectrogram images. Pattern recognition. pp. 1396-1408. ISSN 0031-3203
Abstract
This paper proposes an active contour algorithm for spectrogram track detection. It extends upon previously published work in a number of areas, previously published internal and potential energy models are refined and theoretical motivations for these changes are offered. These refinements offer a marked improvement in detection performance, including a notable reduction in the probability of false positive detections. The result is feature extraction at signal-to-noise ratios as low as −1 dB in the frequency domain. These theoretical and experimental findings are related to existing solutions to the problem, offering a new insight into their limitations. We show, through complexity analysis, that this is achievable in real-time.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Active Contour,Energy Minimisation,Remote Sensing,Spectrogram,Statistical Pattern Recognition,Structural Pattern Recognition |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 22 Jun 2013 00:25 |
Last Modified: | 08 Mar 2025 00:04 |
Published Version: | https://doi.org/10.1016/j.patcog.2012.11.009 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.patcog.2012.11.009 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75059 |