An Automatic Counting Scheme for Honeybee Workers and Its Performance
Ryo Noguchi, Teijiro Isokawa, Hidetoshi Ikeno, Toshifumi Minemoto, Nobuyuki Matsui, Takayuki Yumoto, Naotake Kamiura
Counting individuals or entities from a set of images is one of the most fundamental tasks for obtaining the properties on animal behaviors and ecology. However, most of this work has been conducted manually on many subjects, which lead to be time-consuming and error-prone tasks. In this paper, we present a scheme for automatic counting of target individual and investigate its performance on counting honey workers.