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

Michael Burke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 publicationIEEE Africon 2017 Proceedings
Place of PublicationCape Town, South Africa
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1466-1471
Number of pages6
ISBN (Electronic)978-1-5386-2775-4
ISBN (Print)978-1-5386-2776-1
DOIs
Publication statusPublished - 7 Nov 2017
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sep 201720 Sep 2017
http://africon2017.org/

Publication series

Name
PublisherIEEE
ISSN (Electronic)2153-0033

Conference

ConferenceIEEE AFRICON 2017
Country/TerritorySouth Africa
CityCape Town
Period18/09/1720/09/17
Internet address

Fingerprint

Dive into the research topics of 'A generative Bézier curve model for surf-zone tracking in coastal image sequences'. Together they form a unique fingerprint.

Cite this