A generative Bézier curve model for surf-zone tracking in coastal image sequences

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Abstract

This work introduces a generative Bézier 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.

Original languageEnglish
Title of host publication2017 IEEE AFRICON
Subtitle of host publicationScience, Technology and Innovation for Africa, AFRICON 2017
EditorsDarryn R. Cornish
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1466-1471
Number of pages6
ISBN (Electronic)9781538627754, 9781538627747
ISBN (Print)9781538627761
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sep 201720 Sep 2017

Publication series

Name2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISSN (Electronic)2153-0033

Conference

ConferenceIEEE AFRICON 2017
CountrySouth Africa
CityCape Town
Period18/09/1720/09/17

Keywords

  • Coastal monitoring
  • Particle filters
  • Remote sensing
  • Tracking

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