کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
84352 158876 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A motion and image analysis method for automatic detection of estrus and mating behavior in cattle
ترجمه فارسی عنوان
یک روش تجزیه و تحلیل حرکت و تصویر برای تشخیص اتوماتیک رفتار استریزه و جفتگیری در گاو
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• This paper proposes an image processing system for mating behavior detection in cattle.
• The method incorporates motion analysis and image processing techniques in video sequences.
• It is computationally very fast with a processing rate of 35 fps for real-time, on-farm monitoring.

Estrus detection in cattle is very important for breeding management. The detection results help determine the optimum time for artificial insemination. The success of estrus detection not only increases conception rates but also raises milk production for the herd. The proposed image processing method to detect cows in heat from video is passive and therefore does not require devices to be attached to the cow’s body. The observed scene is a commercial dairy farm, where Holstein cattle are reared in roofed cowsheds.The proposed method is based on the inherent behavior of cows in heat which is characterized by a cow following another cow before mounting it for a short period of a few seconds. A region of interest was first determined around image locations where high levels of motion occurred across the video frames. Foreground segmentation then follows to partition the moving target object from the region of interest in each image frame. The following and mounting behaviors are identified based on the changes of moving object lengths. When an estrus event is declared, the detected event is recorded into the computer to be verified later. The detection system observed 20 cows in a cowshed from the top view. Over the period of 800 h (80 days at 10 h each day), only 0.33% of video frames detected were false positive indicating the system was reliable at detecting mating and estrus behavior from the video frames. Using the method the farmer is required to view the recorded video frames for approximately 2 min per day to confirm that the detection results are true estrus events. The proposed method is capable of real-time detection of mating and estrus behavior speeds with a processing rate of 35 fps.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 104, June 2014, Pages 25–31
نویسندگان
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