Published March 12, 2018
| Version v1
Poster
Open
Tracking and identifying floating marine debris
Authors/Creators
- 1. Department of Engineering, University of Nicosia
- 2. 2KIOS Research and Innovation Center of Excellence, University of Cyprus
Description
It is estimated that a minimum of 5.25 trillion plastic objects weighing 268,940 tons are found in the world’s oceans [1]. Techniques such as ship observations, net trawling and water filtration help estimate the amount of plastic debris at the local scale [2].
The main goal of this research is to devise an automatic method for detecting and classifying marine debris. To this end, we are using two machine learning methods:
A. Bag of Features
B. CNN using Bottleneck
to create classifiers able to classify images of marine debris in respective categories.
Notes
Citation:
Kylili Kyriaki, Artusi Alessandro, Kyriakides Ioannis, & Hadjistassou Constantinos. (2018). Tracking and identifying floating marine debris. Sixth International Marine Debris Conference, San Diego California USA, 12-16 March 2018.
Files
Poster_6IMDC.pdf
Files
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