Automatic individual identification of Saimaa ringed seals
Self archived versionpublished version
MetadataShow full item record
CitationChehrsimin Tina. Eerola Tuomas. Koivuniemi Meeri. Auttila Miina. Levänen Riikka. Niemi Marja. Kunnasranta Mervi. Kälviäinen Heikki. (2017). Automatic individual identification of Saimaa ringed seals. IET Computer Vision, [Available online 24 Oct 2017 ], 10.1049/iet-cvi.2017.0082.
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 post-
processing 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.