Publications per year
Publications per year
Andrea Castro Cabanillas, Victor H. Ayma
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Photo-identification consists of the analysis of photographs to identify cetacean individuals based on unique characteristics that each specimen of the same species exhibits. The use of this tool allows us to carry out studies about the size of its population and migratory routes by comparing catalogues. However, the number of images that make up these catalogues is large, so the manual execution of photo-identification takes considerable time. On the other hand, many of the methods proposed for the automation of this task coincide in proposing a segmentation phase to ensure that the identification algorithm takes into account only the characteristics of the cetacean and not the background. Thus, in this work, we compared four segmentation techniques from the image processing and computer vision fields to isolate whales’ flukes. We evaluated the Otsu (OTSU), Chan Vese (CV), Fully Convolutional Networks (FCN), and Pyramid Scene Parsing Network (PSP) algorithms in a subset of images from the Humpback Whale Identification Challenge dataset. The experimental results show that the FCN and PSP algorithms performed similarly and were superior to the OTSU and CV segmentation techniques.
Original language | English |
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Title of host publication | Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings |
Editors | Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 291-303 |
Number of pages | 13 |
ISBN (Print) | 978-3-030-76227-8 |
DOIs | |
State | Published - 2021 |
Externally published | Yes |
Event | 7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online Duration: 1 Oct 2020 → 3 Oct 2020 |
Name | Communications in Computer and Information Science |
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Volume | 1410 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference | 7th Annual International Conference on Information Management and Big Data, SIMBig 2020 |
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City | Virtual, Online |
Period | 1/10/20 → 3/10/20 |
Research output: Book/Report › Book › peer-review