Add to ORKGInternational audienceIn 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
Underwater cameras are widely used to monitor marine biodiversity, and the trend is increasing due t...
Status and change of biological resources in marine ranch can be recorded with underwater video.It i...
Abstract: In this work a machine vision system capable of analysing underwater videos for detecting,...
International audienceIn this paper, we present two supervised machine learning methods to automatic...
In this paper, we present two supervised machine learning methods to automatically detect and recogn...
© International Council for the Exploration of the Sea 2017. All rights reserved. There is a need fo...
International audienceOne of the current challenges of marine ecology is to monitor biodiversity acc...
Identifying and counting fish individuals on photos and videos is a crucial task to cost-effectively...
International audienceIn this paper, we address fish species identification in underwater video for ...
Deep learning has become more common in recent years because it has achieved excellent results in ac...
Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by mar...
International audienceRecently, marine ecologists are more interested in using underwater video anal...
Deep learning, also known as deep machine learning or deep structured learning based techniques, hav...
International audienceNowadays, underwater video systems are largely used by marine ecologists to st...
This chapter presents a summary of the use of deep learning for underwater image analysis, in partic...
Underwater cameras are widely used to monitor marine biodiversity, and the trend is increasing due t...
Status and change of biological resources in marine ranch can be recorded with underwater video.It i...
Abstract: In this work a machine vision system capable of analysing underwater videos for detecting,...
International audienceIn this paper, we present two supervised machine learning methods to automatic...
In this paper, we present two supervised machine learning methods to automatically detect and recogn...
© International Council for the Exploration of the Sea 2017. All rights reserved. There is a need fo...
International audienceOne of the current challenges of marine ecology is to monitor biodiversity acc...
Identifying and counting fish individuals on photos and videos is a crucial task to cost-effectively...
International audienceIn this paper, we address fish species identification in underwater video for ...
Deep learning has become more common in recent years because it has achieved excellent results in ac...
Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by mar...
International audienceRecently, marine ecologists are more interested in using underwater video anal...
Deep learning, also known as deep machine learning or deep structured learning based techniques, hav...
International audienceNowadays, underwater video systems are largely used by marine ecologists to st...
This chapter presents a summary of the use of deep learning for underwater image analysis, in partic...
Underwater cameras are widely used to monitor marine biodiversity, and the trend is increasing due t...
Status and change of biological resources in marine ranch can be recorded with underwater video.It i...
Abstract: In this work a machine vision system capable of analysing underwater videos for detecting,...