Open AccessA depth camera-based system for automatic measurement of live cattle body parameters
Author(s) -
Alexey Ruchay,
Konstantin Dorofeev,
Vsevolod Kalschikov,
В. И. Колпаков,
К. М. Джуламанов
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/341/1/012148
Subject(s) - measure (data warehouse) , computer science , computer vision , rgb color model , artificial intelligence , vitality , mathematics , data mining , biology , genetics
Many studies have purposed in order to measure live animal body characteristics using RGB-D cameras. However, most of these studies were made only for specific body measurements in interactive manner. A deviation from the expected animal body characteristics can indicate ill thrift, diseases and vitality. Currently, the farm manager can measure the body characteristics manually. Manual measuring generally requires a lot of labor, and it is, therefore, time consuming and stressful for animals. In this work we propose a non-intrusive depth camera-based system for automatic measurement of various cattle body parameters such as linear and integral characteristics along directional lines and local areas, geodesic distances, perimeters of cross sections, etc