Calf Robust Weight Estimation Using 3D Contiguous Cylindrical Model and Directional Orientation from Stereo Images
Calf Robust Weight Estimation Using 3D Contiguous Cylindrical Model and Directional Orientation from Stereo Images
复制标题
使用 3D 连续圆柱模型和立体图像定向进行小牛稳健重量估计
DOI:
10.1145/3287921.3287923
复制
发表时间:
2018
期刊:
影响因子:
--
通讯作者:
T. Ohkawa
中科院分区:
文献类型:
--
作者:
Ryo Nishide;Ayumi Yamashita;Yumi Takaki;C. Ohta;K. Oyama;T. Ohkawa
Calving interval is often used as an indicator for fertility of beef cattle, however, maternal abilities are also required because the value of breeding cows depends on how efficiently the healthy and growing calves are produced. The calf's weight has been used as an indicator of maternity ability since the past few decades. We propose a method to estimate body weight by modeling the shape of calf using 3D information extracted from the stereo images. This method enables to predict the swelling of the cattle's body by creating a 3D model, which cannot be obtained solely from a 2D image. In addition, it is possible to estimate robust weight regardless of different shooting conditions toward cattle's posture and orientation. An image suitable for estimation is selected from motion images taken by the camera installed in the barn, and 3D coordinates are calculated by the images. Then, only the body is developed with a 3D model as it has the highest correlation with the body weight. Considering that the side of cattle's body may not be exactly perpendicular to the camera's shooting direction, a symmetric axis is extracted to find the inclination of cattle body from the camera in order to generate a 3D model based on the symmetric axis. 3D contiguous cylindrical model is used for the body of a cattle which has a rounded shape. In order to manipulate the shapes of the cylindrical surface, the circle and ellipse fittings are applied and compared. The linear regression equation of the volume of the cylindrical model and the actually measured body weight are used to estimate the cattle weight. As a result of modeling with the proposed method using the actual camera images, the correlation coefficient between the body weight and the model volume was at the best value, 0.9107. Even when experimentally examined with the different 3D coordinates obtained from other types of camera, the MAPE (Mean Absolute Percentage Error) was as low as 6.39%.
DOI:
10.12792/icisip2017.046
发表时间:
2017
期刊:
Proceedings of the 5th IIAE International Conference on Intelligent Systems and Image Processing
影响因子:
--
作者:
Ayumi Yamashita;Takenao Ohkawa;Kenji Oyama;Chikara Ohta;Ryo Nishide;Takeshi Honda
通讯作者:
Takeshi Honda
DOI:
10.12792/jiiae.6.39
发表时间:
2018
期刊:
Journal of the Institute of Industrial Applications Engineers
影响因子:
--
作者:
Ayumi Yamashita;Takenao Ohkawa;Kenji Oyama;Chikara Ohta;Ryo Nishide;Takeshi Honda
通讯作者:
Takeshi Honda
DOI:
10.1109/34.888718
发表时间:
2000-11-01
影响因子:
23.6
作者:
Zhang, ZY
通讯作者:
Zhang, ZY