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Various studies have been conducted on methods for estimating the weight of cattle. In this study, we propose a method to estimate body weight by modeling the shape of calf using three-dimensional information extracted from the stereo images. Initially, a stereo camera is set with two fixed network cameras, to take a motion image of a calf. Three-dimensional coordinate is calculated by applying the stereo matching method to a static image obtained by splitting the motion image into frames. Then, we model only the body with a three-dimensional model, because chest girth and waist girth have the highest correlation with body weight. As the body of a cattle has a rounded shape, we used a three-dimensional successive cylindrical model. The linear regression equation of the volume of the cylindrical model and the actual measured body weight is calculated to estimate the weight. In the experiment, the effectiveness of the proposed method was verified by using data of 48 cattle in total. The best results were a correlation coefficient of 0.8679 and an average error of 21.46%. In the future, we aim to further improve accuracy and establish a method to automatically extract images suitable for analysis.

Estimation of Calf Weight from Fixed-Point Stereo Camera Images Using Three-Dimensional Successive Cylindrical Model