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Sammanfattning

A well-planned waiting area is crucial for automatic milking systems. In an enclosed waiting area, cows of different rank compete to enter the milking station and are exposed to a variety of social interactions. Such interactions could increase standing time and delay milking, which may result in stress, lameness, impaired welfare and reduced performance. The aim was to monitor the waiting area in a free stall dairy by means of three video cameras in order to detect the occurrence of social interactions using improved image segmentation and tracking methods. The surveillance system observed 250 cows with free access to any of four milking stations during 24 hours over a period of two weeks. A two-step pattern recognition approach was used. In the first step geometric features (distances) were extracted from every pair of cows in every frame. These features form the input to the second step in which a cow behaviour classifier was developed. A support vector machine was used to create this classifier. The social interactions were identified based on collision of geometrical shapes segmented from the image and positively identified as cows by experienced observers. The results showed that the proposed system was capable of reasonably accurate detection of social interactions.

Nyckelord

Automatic milking; Computer vision; Lameness; Object recognition; Social interactions

Publicerad i

Titel: Precision Livestock Farming '15 : papers presented at the 7th conference on precision livestock farming
Utgivare: European Conference on Precision Livestock Farming

Konferens

Precision Livestock Farming '15 : 7th conference on precision livestock farming, 2015-09-15--2015-09-18, Milan, Italy

SLU författare

UKÄ forskningsämne

Husdjursvetenskap
Datorgrafik och datorseende

Publikationens identifierare

  • ISBN: 9788890975325

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/132007