An active contour algorithm for spectrogram track detection

Authors:
Thomas A. Lampert;Simon E. M. O'Keefe
Affiliations:
Department of Computer Science, University of York, Heslington, York YO10 5DD, United Kingdom;Department of Computer Science, University of York, Heslington, York YO10 5DD, United Kingdom
Venue:
Pattern Recognition Letters
Year:
2010

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Abstract

This paper proposes an active contour framework for spectrogram track detection. A potential energy is proposed which results in feature extraction at a signal-to-noise ratio (SNR) of 0.5dB. We show, through complexity analysis, that this is achievable in real-time.