Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
In order to reduce the time and effort of the individual identification, a method for easily identifying individuals of animals using ICT has been required. Our research has used animal vocalizations as one of the resources useful for individual identification. In this paper, we extract various kinds of acoustic information suitable for individual identification of cattle, and clear age-related changes in acoustic features between cattle and heifer to identify individuals. The identification rate of 10 cows using the extracted acoustic features was 96.17%. It is clear that the acoustic information employed in the study is effective not only for identifying individuals of the same age but also for individuals of different ages.
