Abstract
In this paper, a new image based method for detecting and extracting events in noisy hydrophone data sequence is developed. The method relies on dominant orientation and its robust reconstruction based on mutual information (MI) measure. This new reconstructed dominant orientation map of the spectrogram image can provide key segments corresponding to various acoustic events and is robust to noise. The proposed method is useful for long-term monitoring and a proper interpretation for a wide variety of marine mammals and human related activities using hydrophone data. The experimental results demonstrate that this image based approach can efficiently detect and extract unusual events, such as whale calls from the highly noisy hydrophone recordings.
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© 2011 Springer-Verlag Berlin Heidelberg
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Sattar, F., Driessen, P.F., Tzanetakis, G. (2011). A New Image-Based Method for Event Detection and Extraction of Noisy Hydrophone Data. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_33
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DOI: https://doi.org/10.1007/978-3-642-21596-4_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21595-7
Online ISBN: 978-3-642-21596-4
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