Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatic mounting events detection among pigs is presented.Ellipse fitting algorithms re used to localize each pig in the image.The Euclidean distances beten head, tail and sides of pigs re obtained.Major and minor axis lengths re altered during mounting events. Excessive mounting behaviours amongst pigs cause a high risk of poor lfare, arising from skin lesions, lameness and stress, and economic losses from reduced performance. The aim of this study was to develop a method for automatic detection of mounting events amongst pigs under commercial farm conditions by means of image processing. Two pens re selected for the study and re monitored for 20days by means of top view cameras. The recorded video was then visually analysed for selecting mounting behaviours, and extracted images from the video files re subsequently used for image processing. An ellipse fitting technique was applied to localize pigs in the image. The intersection points beten the major and minor axis of each fitted ellipse and the ellipse shape re used for defining the head, tail and sides of each pig. The Euclidean distances beten head and tail, head and sides, the major and minor axis length of the fitted ellipse during the mounting re utilized for development of an algorithm to automatically identify a mounting event. The proposed method could detect mounting events with high level of sensitivity, specificity and accuracy, 94.5%, 88.6% and 92.7%, respectively. The results show that it is possible to use machine vision techniques in order to automatically detect mounting behaviours among pigs under commercial farm conditions.
['Abozar Nasirahmadi', 'Oliver Hensel', 'S. A. Edwards', 'Barbara Sturm']
I am writing a research paper on a idea Automatic detection of mounting behaviours among pigs using image analysis
[{"from": "human", "value": "I am writing a research paper on a idea Automatic detection of mounting behaviours among pigs using image analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatic mounting events detection among pigs is presented.Ellipse fitting algorithms re used to localize each pig in the image.The Euclidean distances beten head, tail and sides of pigs re obtained.Major and minor axis lengths re altered during mounting events. Excessive mounting behaviours amongst pigs cause a high risk of poor lfare, arising from skin lesions, lameness and stress, and economic losses from reduced performance. The aim of this study was to develop a method for automatic detection of mounting events amongst pigs under commercial farm conditions by means of image processing. Two pens re selected for the study and re monitored for 20days by means of top view cameras. The recorded video was then visually analysed for selecting mounting behaviours, and extracted images from the video files re subsequently used for image processing. An ellipse fitting technique was applied to localize pigs in the image. The intersection points beten the major and minor axis of each fitted ellipse and the ellipse shape re used for defining the head, tail and sides of each pig. The Euclidean distances beten head and tail, head and sides, the major and minor axis length of the fitted ellipse during the mounting re utilized for development of an algorithm to automatically identify a mounting event. The proposed method could detect mounting events with high level of sensitivity, specificity and accuracy, 94.5%, 88.6% and 92.7%, respectively. The results show that it is possible to use machine vision techniques in order to automatically detect mounting behaviours among pigs under commercial farm conditions."}]