Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536096 | Pattern Recognition Letters | 2010 | 6 Pages |
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 0.5 dB. We show, through complexity analysis, that this is achievable in real-time.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Thomas A. Lampert, Simon E.M. O’Keefe,