Intelligent monitoring method of cow ruminant behavior based on video analysis technology  

作　　者：Chen Yujuan He Dongjian Fu Yinxi Song Huaibo 

机构地区：[1]College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling,Shaanxi 712100,China [2]Ministry of Agriculture Key Laboratory for Agricultural Internet of Things,Yangling,Shaanxi 712100,China [3]Department of Foreign Languages,Northwest A&F University,Yangling,Shaanxi 712100,China

出　　处：《International Journal of Agricultural and Biological Engineering》2017年第5期194-202,共9页国际农业与生物工程学报（英文）

基　　金：supported by the National Key Technology R&D Program of China(No.2017YFD0701603);the Natural Science Foundation of China(No.60975007).

摘　　要：To overcome the limitations of traditional dairy cow's rumination detection methods,a video-based analysis on the intelligent monitoring method of cow ruminant behavior was proposed in this study.The Mean Shift algorithm was used to track the jaw motion of dairy cows accurately.The centroid trajectory curve of the cow mouth motion was subsequently extracted from the video.In this way,the monitoring of the ruminant behavior of dairy cows was realized.To verify the accuracy of the method,six videos,a total of 99'00",24000 frames were selected.The test results demonstrated that the success rate of this method was 92.03%,despite the interference of behaviors,such as raising or turning of the cow’s head.The results demonstrate that this method,which monitors the ruminant behavior of dairy cows,is effective and feasible.

关 键 词：dairy cow RUMINATION intelligent monitoring video analysis animal bahavior 

分 类 号：S82[农业科学—畜牧学]