of an automated image processing method to detect the activity status of pigs.
Top-view video images were captured for forty piglets, housed ten per pen.
Each pen was monitored by a top-view CCD camera. The image analysis
protocol to automatically quantify activity consisted of several steps. First, in
order to localise the pigs, ellipse fitting algorithms were employed.
Subsequently, activity was calculated by subtracting image background and
comparing binarised images. To validate the results, they were compared to
labelled behavioural data ('active' versus 'inactive'). This is the first study to
show that activity status of pigs in a group can be determined using image
analysis with an accuracy of 89.8 %. Since activity status is known to be
associated with issues such as lameness, careful monitoring can give an
accurate indication of the health and welfare of pigs.
|Titel||Advanced Concepts for Intelligent Vision Systems : Proceedings of the 15th International Conference|
|Editors||Jacques Blanc-Talon, Andrzej Kasinski, Wilfried Philips, Dan Popescu, Paul Scheunders|
|ISBN van geprinte versie||978-3-319-02894-1|
|ISBN van elektronische versie||978-3-319-02895-8|
|Publicatiestatus||Gepubliceerd - 2013|
|Evenement||Advanced Concepts for Intelligent Vision Systems - Poznan, Polen|
Duur: 28-okt-2013 → 31-okt-2013