Fumihiro Kano

2 weeks ago | besjournals.onlinelibrary.wiley.com | Michael Chimento |Lucy Aplin |Fumihiro Kano

1 INTRODUCTION Automated, large-scale data collection methods to measure animals' behaviour in their natural habitat are of growing importance for understanding social systems (Farine et al., 2014, 2015), migration and dispersal (Flack et al., 2018, 2022; Klarevas-Irby et al., 2021), disease and information transmission (Aplin et al., 2015; Fang et al., 2020; Farine, Aplin, et al., 2015) responses to climate and weather events (Hawkes et al., 2009; Nourani et al., 2023), and conservation...

Jul 2, 2024 | biorxiv.org | Michael Chimento |Lucy Aplin |Fumihiro Kano

AbstractCollection of large behavioral data-sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, have unlocked a new frontier of fine-scale markerless measurements.

Aug 14, 2023 | biorxiv.org | Akihiro Itahara |Fumihiro Kano

AbstractThe visually guided behaviors of corvids (Corvidae) are often examined in previous studies because they provide important clues about their perception, attention, and cognition. However, the details regarding how they orient their heads toward the visual targets (or how they use their visual fields when attending to the visual targets) remain largely unclear.