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Automatic monitoring of pig activity using image analysis

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Abstract
The purpose of this study is to investigate the feasibility and validity 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.
Keywords
IDENTIFICATION, SOWS ACTIVITY TYPES, BEHAVIOR, eYeNamic, image analysis, Activity status, ellipse fitting, pig

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Chicago
Kashisha, Momammad Amin, Claudia Bahr, Sanne Ott, Christel Moons, Theo A Niewold, Frank Tuyttens, and Daniel Berckmans. 2013. “Automatic Monitoring of Pig Activity Using Image Analysis.” In Lecture Notes in Computer Science, ed. Jacques Blanc-Talon, Andrzej Kasinski, Wilfried Philips, Dan Popescu, and Paul Scheunders, 8192:555–563. Berlin, Germany: Springer.
APA
Kashisha, Momammad Amin, Bahr, C., Ott, S., Moons, C., Niewold, T. A., Tuyttens, F., & Berckmans, D. (2013). Automatic monitoring of pig activity using image analysis. In Jacques Blanc-Talon, A. Kasinski, W. Philips, D. Popescu, & P. Scheunders (Eds.), Lecture Notes in Computer Science (Vol. 8192, pp. 555–563). Presented at the 15th International conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2013), Berlin, Germany: Springer.
Vancouver
1.
Kashisha MA, Bahr C, Ott S, Moons C, Niewold TA, Tuyttens F, et al. Automatic monitoring of pig activity using image analysis. In: Blanc-Talon J, Kasinski A, Philips W, Popescu D, Scheunders P, editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2013. p. 555–63.
MLA
Kashisha, Momammad Amin, Claudia Bahr, Sanne Ott, et al. “Automatic Monitoring of Pig Activity Using Image Analysis.” Lecture Notes in Computer Science. Ed. Jacques Blanc-Talon et al. Vol. 8192. Berlin, Germany: Springer, 2013. 555–563. Print.
@inproceedings{4182441,
  abstract     = {The purpose of this study is to investigate the feasibility and validity 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.},
  author       = {Kashisha, Momammad Amin and Bahr, Claudia and Ott, Sanne and Moons, Christel and Niewold, Theo A and Tuyttens, Frank and Berckmans, Daniel},
  booktitle    = {Lecture Notes in Computer Science},
  editor       = {Blanc-Talon, Jacques and Kasinski, Andrzej and Philips, Wilfried and Popescu, Dan and Scheunders, Paul},
  isbn         = {9783319028958},
  issn         = {0302-9743},
  keywords     = {IDENTIFICATION,SOWS ACTIVITY TYPES,BEHAVIOR,eYeNamic,image analysis,Activity status,ellipse fitting,pig},
  language     = {eng},
  location     = {Poznań, Poland},
  pages        = {555--563},
  publisher    = {Springer},
  title        = {Automatic monitoring of pig activity using image analysis},
  url          = {http://dx.doi.org/10.1007/978-3-319-02895-8_50},
  volume       = {8192},
  year         = {2013},
}

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