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Automatic Detection of Lameness in Dairy Cattle - Analyzing Image Parameters Related to Lameness

机译:乳品牛跛足的自动检测 - 分析与跛行相关的图像参数

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The objective of this research was to develop and analyze image parameters correlated with expert gait scores that are applicable for lameness detection. Experiments -were done on ILVO farm in Ghent, Belgium, in August/September 2007. A camera recorded postures and movements of lactattng Holstein cows. The parameters trackway overlap, hoof step time and spine arch were calculated for 10 caws. Within the evaluation it was proven that the parameters contain information that can be related to lameness.First, results showed that each image parameter had a relation to gait scores given by experts. It shows that trackway overlap, hoof step time and spine arch are useful for lameness detection. A further goal is the development of an automatic on-line lameness detection tool after analyzing more lame cows and more image parameters.
机译:本研究的目的是开发和分析与专家步态分数相关的图像参数,适用于跛足检测。实验 - 在2007年8月/ 9月在比利时格伦的ILVO农场完成了一台摄像机历史纪录的历史悠久的Lactattng Holstein Cows的姿势和运动。参数跟踪路重叠,蹄步骤时间和脊柱拱为10个CAW。在评估中,证明参数包含与lemh度有关的信息。首先表明每个图像参数与专家给出的步态分数有关。它表明,轨道路重叠,蹄步进时间和脊柱拱对于跛足检测有用。进一步的目标是在分析更多蹩脚的奶牛和更多图像参数之后开发自动在线跛足检测工具。

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