Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks

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.

[1]  Sergio Guadarrama,et al.  Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Anna Zamansky,et al.  Buddy's Wearable Is Not Your Buddy: Privacy Implications of Pet Wearables , 2019, IEEE Security & Privacy.

[3]  Torben Gregersen,et al.  Original papers: Development of a real-time computer vision system for tracking loose-housed pigs , 2011 .

[4]  Eric Gilbert,et al.  Leveraging Mobile Technology to Increase the Permanent Adoption of Shelter Dogs , 2015, MobileHCI.

[5]  A. J Spink,et al.  The EthoVision video tracking system—A tool for behavioral phenotyping of transgenic mice , 2001, Physiology & Behavior.

[6]  David L. Roberts,et al.  Semi-supervised classification of static canine postures using the Microsoft Kinect , 2016, ACI.

[7]  Simone Calderara,et al.  Quick, Accurate, Smart: 3D Computer Vision Technology Helps Assessing Confined Animals’ Behaviour , 2016, 2014 22nd International Conference on Pattern Recognition.

[8]  Javier Jaén Martínez,et al.  Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking , 2017, Expert Syst. Appl..

[9]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Luc Van Gool,et al.  The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.

[11]  D. Arney,et al.  42 What is Animal Welfare and How is it Assessed , 2012 .

[12]  D. Sergeant,et al.  Computer visual tracking of poultry , 1998 .

[13]  John Joseph Valletta,et al.  Applications of machine learning in animal behaviour studies , 2017, Animal Behaviour.

[14]  Dirk van der Linden,et al.  Activity Trackers for Raising Guide Dogs: Challenges and Opportunities , 2018, IEEE Technology and Society Magazine.

[15]  Bo Chen,et al.  MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.

[16]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.

[17]  T. Burghardt,et al.  Analysing animal behaviour in wildlife videos using face detection and tracking , 2006 .

[18]  Dirk van der Linden,et al.  K9-Blyzer: Towards Video-Based Automatic Analysis of Canine Behavior , 2017, ACI.

[19]  Giancarlo Valentin,et al.  Assessment of Working Dog Suitability from Quantimetric Data , 2014 .

[20]  R Remie,et al.  Validation of a new system for the automatic registration of behaviour in mice and rats , 2001, Behavioural Processes.

[21]  Cassim Ladha,et al.  Dog's life: wearable activity recognition for dogs , 2013, UbiComp.

[22]  T. Vicsek,et al.  Identification of Behaviour in Freely Moving Dogs (Canis familiaris) Using Inertial Sensors , 2013, PloS one.

[23]  R. D. Tillett,et al.  Using model-based image processing to track animal movements , 1997 .

[24]  Dirk van der Linden,et al.  Animal Health Informatics: Towards a Generic Framework for Automatic Behavior Analysis Position Paper , 2019, HEALTHINF.

[25]  Anna Zamansky,et al.  Log My Dog: Perceived Impact of Dog Activity Tracking , 2019, Computer.

[26]  M. Dawkins,et al.  Using behaviour to assess animal welfare , 2004, Animal Welfare.

[27]  Lucas P. J. J. Noldus,et al.  Computerised video tracking, movement analysis and behaviour recognition in insects , 2002 .

[28]  Simona Cannas,et al.  Video analysis of dogs with separation-related behaviors. , 2010 .

[29]  David L. Roberts,et al.  Behavior recognition based on machine learning algorithms for a wireless canine machine interface , 2013, BSN.