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dc.contributor.author Burke, Michael G
dc.date.accessioned 2018-02-12T09:52:54Z
dc.date.available 2018-02-12T09:52:54Z
dc.date.issued 2017-09
dc.identifier.citation Burke, M.G. 2017. A generative Bezier curve model for surf-zone tracking in coastal image sequences. IEEE Africon Proceedings, 18-20 September 2017, Cape Town, South Africa, pp. 1466-1471 en_US
dc.identifier.isbn 978-1-5386-2774-7
dc.identifier.uri DOI: 10.1109/AFRCON.2017.8095698
dc.identifier.uri http://ieeexplore.ieee.org/document/8095698/
dc.identifier.uri http://hdl.handle.net/10204/10028
dc.description Copyright: 2017 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract This work introduces a generative Bezier curve model suitable for surf-zone curve tracking in coastal image sequences. The model combines an adaptive curve parametrised by control points governed by local random walks with a global sinusoidal motion model. This allows for changing wave-break conditions and tides to be tracked using a bootstrap particle filter. Results obtained on a sequence of images show that wave-break locations can be tracked through a wide variety of challenging weather and lighting conditions. In addition, the paper shows how wave buoy measurements can be used as forcing dynamics in place of the sinusoidal tide component of the proposed model to improve results. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;19537
dc.subject Generative Bezier curve model en_US
dc.subject Coastal image sequences en_US
dc.subject Remote sensing en_US
dc.subject Particle filters en_US
dc.subject Coastal monitoring en_US
dc.title A generative Bezier curve model for surf-zone tracking in coastal image sequences en_US
dc.type Presentation en_US


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