Automatic individual identification of Saimaa ringed seals
Chehrsimin, Tina; Eerola, Tuomas; Koivuniemi, Meeri; Auttila, Miina; Levänen, Riikka; Niemi, Marja; Kunnasranta, Mervi; Kälviäinen, Heikki (2017)
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Chehrsimin, Tina
Eerola, Tuomas
Koivuniemi, Meeri
Auttila, Miina
Levänen, Riikka
Niemi, Marja
Kunnasranta, Mervi
Kälviäinen, Heikki
Julkaisusarja
IET Computer Vision
Volyymi
2017
Sivut
1-7
The Institute of Engineering and Technology, IET
2017
Tiivistelmä
In order to monitor an animal population and to track individual animals in a non-invasive way, identification of individual animals based on certain distinctive characteristics is necessary. In this study, automatic image-based individual identification of the endangered Saimaa ringed seal (Phoca hispida saimensis) is considered. Ringed seals have a distinctive permanent pelage pattern that is unique to each individual. This can be used as a basis for the identification process. The authors propose a framework that starts with segmentation of the seal from the background and proceeds to various postprocessing steps to make the pelage pattern more visible and the identification easier. Finally, two existing species independent individual identification methods are compared with a challenging data set of Saimaa ringed seal images. The results show that the segmentation and proposed post-processing steps increase the identification performance.
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