Authors
Sébastien Villon, Marc Chaumont, Gérard Subsol, Sébastien Villéger, Thomas Claverie, David Mouillot
Publication date
2016/10/21
Book
International Conference on Advanced Concepts for Intelligent Vision Systems
Pages
160-171
Publisher
Springer International Publishing
Description
In this paper, we present two supervised machine learning methods to automatically detect and recognize coral reef fishes in underwater HD videos. The first method relies on a traditional two-step approach: extraction of HOG features and use of a SVM classifier. The second method is based on Deep Learning. We compare the results of the two methods on real data and discuss their strengths and weaknesses.
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