[1B1-OS-11a] [Organized Session] OS-11

[1B1-OS-11a-05] Identifying Individual Chimpanzee with Convolution Neural Networks

〇Yuuichiro Ikeda¹, Hiroyuki Iizuka¹, Masahito Yamamoto¹ (1. Graduate School of Information Science and Technology, Hokkaido University)

Keywords:Social applications, Image Recognition, Convolutional Neural Networks, Computational Ethology, Identifying Individual Chimpanzee

The development of information science in recent years has greatly contributed to studies of animal behavior. We are collaborating with Maruyama Zoo in Sapporo to reduce the load on zookeepers taking care of animals using artificial intelligence. One of our targets is to automatically create chimpanzee’s Ethogram for health management and maintenance of breeding environments. Ethogram is an inventory of all behavior patterns of specific individuals and species. In order to create an Ethogram, it is necessary to identify individuals. Therefore, in this research, we examined whether each individual chimpanzee can be recognized using Convolutional Neural Networks ,which has high accuracy in image recognition field. Experimental results showed that it is possible for our system to identify individual chimpanzees.