A1 Journal article (refereed), original research

Automatic individual identification of Saimaa ringed seals


Open Access publication

Publication Details
Authors: Chehrsimin Tina, Eerola Tuomas, Koivuniemi Meeri, Auttila Miina, Levänen Riikka, Niemi Marja, Kunnasranta Mervi, Kälviäinen Heikki
Publisher: Institution of Engineering and Technology (IET)
Publication year: 2017
Language: English
Related Journal or Series Information: IET Computer Vision
ISSN: 1751-9632
eISSN: 1751-9640
JUFO-Level of this publication: 1
Open Access: Open Access publication

Abstract

In order to monitor an animal population and to track individual animals in a noninvasive way, identification of individual animals based on certain distinctive characteristics is necessary. In this paper, 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. We 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.


Last updated on 2018-19-10 at 07:55