Presentation information

Organized Session

Organized Session » OS-21

[2H1-OS-21] OS-21

Wed. Jun 10, 2020 9:00 AM - 10:20 AM Room H (jsai2020online-8)

武田 英明(国立情報学研究所)、小林 一樹(信州大学)、朱 成敏(国立情報学研究所)

10:00 AM - 10:20 AM

[2H1-OS-21-04] A new method for the individual identification of cattle from vocalizations considering age-related changes in acoustic features

〇Megumi Kondo1, Yurie Iribe1, Tomoki Kojima2, Toshiyuki Okawa2 (1. Aichi Prefectural University, 2. Aichi Agricultural Research Center)

Keywords:individual identification, cattle sound, age-related changes

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.

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