SealVision

The Saimaa ringed seal (Phoca hispida saimensis) is one of the most endangered seals in the world. It is a symbol of Lake Saimaa and the Finnish nature conservation movement. At present slightly under 400 ringed seals live in Lake Saimaa, and some 60 pups are born annually. Recently animal biometrics, i.e., wild life photo identification have started to offer new ways to monitor animals and to help them to survive. The goal of the SealVision project is to develop automatic image-based identification of the Saimaa ringed seals. Thus, each individual seal could be recognized and tracked. This will further make it possible to make better population size estimates, understand the behaviour of ringed seals, and design more effective measures to protect the population. The computer vision approach consists of the detection of a seal in game and wild life camera images, the segmentation of the detected seal, and the identification based on ring patterns on the fur.

The research has been supported by Raija ja Ossi Tuuliaisen säätiö.

People

Ekaterina Nepovinnykh E-mail Office: 2419 Doctoral student
Tuomas Eerola E-mail Office: 2422 Tel: +358 40 139 3405 Post-Doctoral Researcher
Heikki Kälviäinen E-mail Office: 2415 Tel: +358 40 586 7552 Professor

Publications

Identification of Saimaa Ringed Seal Individuals using Transfer Learning

By Ekaterina Nepovinnykh, Tuomas Eerola, and Heikki Kälviäinen, In the Advanced Concepts for Intelligent Vision Systems (ACIVS 2018), 2018.

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Comparison of Co-segmentation Methods for Wildlife Photo-identification

By Anastasia Popova, Tuomas Eerola, and Heikki Kälviäinen, In the Advanced Concepts for Intelligent Vision Systems (ACIVS 2018), 2018.

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Saimaa ringed seal fur pattern extraction for identification purposes

By Ekaterina Nepovinnykh, Master's Thesis, Lappeenranta University of Technology, 2017.

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Co-segmentation methods for wildlife-photo identification

By Anastasia Popova, Master's Thesis, Lappeenranta University of Technology, 2017.

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Convolutional neural networks for Saimaa ringed seal segmentation

By Evgeniya Kosyanenko, Master's Thesis, Lappeenranta University of Technology, 2017.

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Automatic individual identification of Saimaa ringed seals

By Tina Chehrsimin, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, and Heikki Kälviäinen, IET Computer Vision 12 (2), 146 - 152, 2018.

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Enhanced methods for Saimaa ringed seal identification

By Tina Chehrsimin, Master's Thesis, Lappeenranta University of Technology, 2016.

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Segmentation of Saimaa ringed seals for identification purposes

By Artem Zhelezniakov, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, and Heikki Kälviäinen, In International Symposium on Visual Computing (ISVC 2015), 2015.

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Automatic image-based identification of Saimaa ringed seals

By Artem Zhelezniakov, Master's Thesis, Lappeenranta University of Technology, 2015.

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Links

Ringed Seal Research, University of Eastern Finland
Wildlife Photo-ID Network
Wildbook: Software to Combat Extinction
I3S: Interactive Individual Identification System
DISCOVERY: Photo-Identification Data-Management System for Individually Recognizable Animals
Extract compare, Conservation Research Ltd
StripeSpotter
Wild-ID
Sloop: Pattern Retrieval System for Animal Biometrics