KOPRI Repository

Adelie penguin counting using very-high-resolution UAV images and deep learning-based object detection technique

Cited 0 time in wos
Cited 0 time in scopus
Title
Adelie penguin counting using very-high-resolution UAV images and deep learning-based object detection technique
Authors
Hyun, Chang-Uk
Kim, Jeong-Hoon
Chung, Hosung
Kim, Hyun-cheol
Keywords
Adelie penguinUAVdeep learning
Issue Date
2018
Citation
Hyun, Chang-Uk, et al. 2018. Adelie penguin counting using very-high-resolution UAV images and deep learning-based object detection technique. The 24th International Symposium on Polar Sciences. KOPRI. 2018.05.29~2018.05.30.
Abstract
Climate changes in polar regions affect to environment that can be directly linked to the living conditions of mammals. Adelie penguin (Pygoscelis adeliae) is known as a species reflecting environmental changes such as sea ice condition and food supply in Antarctica, therefore monitoring the Adelie penguin is crucial to investigate the effects from environmental changes. In this study, we propose a deep learning-based object detection technique using very-high-resolution (VHR) images acquired from unmanned aerial vehicle (UAV) for counting individual Adelie penguin. The VHR images with a spatial resolution of less than 1 cm were acquires in Cape Hallett around Ross Sea, Antarctica using commercial UAV. The image acquisition using UAV has merits from shorter operation duration over large area than field investigation by researcher, preventing disturbance to penguins. Penguin counter software was developed using Google’s tensorflow object detection application programming interface (API), an open source framework, with an image segregation-aggregation approach. This automated method can be applied to other Adelie penguin colonies around Ross Sea and other species of penguins in Antarctica with additional training and testing procedures.
URI
https://repository.kopri.re.kr/handle/201206/12595
Conference Name
The 24th International Symposium on Polar Sciences
Conference Place
KOPRI
Conference Date
2018.05.29~2018.05.30
Type
Proceeding
Indexed
Pro(초록)국외
Appears in Collections  
2017-2018, Ecosystem Structure and Function of Marine Protected Area (MPA) in Antarctica (17-18) / Kim, Jeong-Hoon (PM17060)
Files in This Item

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse