TY  - CONF
AU  - Jose A. Garcia
AU  - David Masip
AU  - Valerio Sbragaglia
AU  - Jacopo Aguzzi
A2  - MARTECH
PY  - 2016//
TI  - Using ORB, BoW and SVM to identificate and track tagged Norway lobster Nephrops Norvegicus (L.)
BT  - 3rd International Conference on Maritime Technology and Engineering
N2  - Sustainable capture policies of many species strongly depend on the understanding of their social behaviour. Nevertheless, the analysis of emergent behaviour in marine species poses several challenges. Usually animals are captured and observed in tanks, and their behaviour is inferred from their dynamics and interactions. Therefore, researchers must deal with thousands of hours of video data. Without loss of generality, this paper proposes a computervision approach to identify and track specific species, the Norway lobster, Nephrops norvegicus. We propose an identification scheme were animals are marked using black and white tags with a geometric shape in the center (holedtriangle, filled triangle, holed circle and filled circle). Using a massive labelled dataset; we extract local features based on the ORB descriptor. These features are a posteriori clustered, and we construct a Bag of Visual Words feature vector per animal. This approximation yields us invariance to rotationand translation. A SVM classifier achieves generalization results above 99%. In a second contribution, we will make the code and training data publically available.
L1  - http://refbase.cvc.uab.es/files/GMS2016b.pdf
N1  - OR;MV;
ID  - Jose A. Garcia2016
ER  -