Towards Automated Classification of Seabed Substrates in Underwater Video

Matthew Pugh, Bernie Tiddeman, Hannah Mary Dee, Phil Hughes

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

2 Dyfyniadau (Scopus)
210 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

In this work, we present a system for the automated classiffication of seabed substrates in underwater video. Classiffication of seabed substrates traditionally requires manual analysis by a marine biologist, according to an established classiffication system. Accurate, consistent and robust classiffication is difficult in underwater video due to varying lighting conditions, turbidity and method of original recording. We have developed a system that uses ground truth data from marine biologists to train and test per-frame classiffiers. In this paper we present preliminary results of this using various feature representations (histograms, Gabor wavelets) and classiffiers (SVC, kNN) on both full-frame and patched-based analysis, achieving up to 93% accuracy.
Iaith wreiddiolSaesneg
TeitlComputer Vision for Analysis of Underwater lmagery Workshop
Is-deitlInternational Conference on Pattern Recognition
Man cyhoeddiStockholm
CyhoeddwrIEEE Press
Tudalennau9-16
Nifer y tudalennau8
ISBN (Argraffiad)978-1-4799-6709-4
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 24 Awst 2014
Digwyddiad22nd International Conference on Pattern Recognition - Stockholm Waterfront, Stockholm, Sweden
Hyd: 24 Awst 201428 Awst 2014

Cynhadledd

Cynhadledd22nd International Conference on Pattern Recognition
Gwlad/TiriogaethSweden
DinasStockholm
Cyfnod24 Awst 201428 Awst 2014

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