Real-time cow action recognition based on motion history image feature
Sungjin Ahn, Dong-Min Ko, Eui-Ju Heo, Kang-Sun Choi · 2018
In this paper, a cow behavior recognition algorithm is proposed to detect the optimal time of insemination by using the support vector machine (SVM) classifier with motion history image feature information. In the proposed algorithm, area information indicating the amount of movements is extracted from MHI, instead of motion direction which has been widely used for person action recognition. In the experimental results, it is confirmed that the proposed method detects the cow mounting behavior with the detection rate of 72%.