Finding interesting images from large quantities of camera trap data

• Main Author: Kauppala, Juho
• Other Authors: Lappeenrannan-Lahden teknillinen yliopisto LUT, Lappeenranta-Lahti University of Technology LUT
• Format: Bachelor Thesis
• Language: English
• Published: 2020
• Subjects: camera trap; convolutional neural network; computer vision; image classification; Saimaa ringed seal; konvoluutioneuroverkko; kuvien luokittelu; riistakamera; saimaannorppa; tietokonenäkö; fi=Tekniikka|en=Technology|; fi=School of Engineering Science; Laskennallinen tekniikka|en=School of Engineering Science; Computational Engineering|; Norppa; ringed seal
• Online Access: https://lutpub.lut.fi/handle/10024/161252

To protect the endangered Saimaa ringed seal population, the ringed seals are monitored with automatic camera traps in order to gather knowledge about them including population size, territory, age, health and breeding data. To achieve this, the monitoring system has to be able to tell apart individ...