Video-based analysis is one of the most important tools of animal behavior and animal welfare scientists. While automatic analysis systems exist for many species, this problem has not yet been adequately addressed for one of the most studied species in animal science—dogs. In this paper we describe a system developed for analyzing sleeping patterns of kenneled dogs, which may serve as indicator of their welfare. The system combines convolutional neural networks with classical data processing methods, and works with very low quality video from cameras installed in dogs shelters.
|Title of host publication||Lecture Notes in Computer Science|
|Subtitle of host publication||Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing.|
|Editors||I. Tekto, V. Kurkova, P. Karpov|
|Publication status||Published - 9 Sep 2019|