K9-blyzer - Towards video-based automatic analysis of canine behavior

Shir Amir, Anna Zamansky, Dirk Van Der Linden

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Automatic analysis of animal behavior has the potential to revolutionize thework of animal science and ACI researchers. Many tracking and behavior analysis systems exist for different species, such as birds, insects and mice, but behavior analysis in the canine domain still remains a challenging task. In this research-in-progress paper we describe K9-Blyzer (Canine Behavior Analyzer), which is a tool for automatic video analysis of canine behavior. We present preliminary results of automatic analysis of dog-robot interactions, point out some envisioned extensions of the tool and discuss the potential applications of the tool for the field of ACI.

Original languageEnglish
Title of host publicationACI2017 - 4rth International Conerence on Animal-Computer Interaction
Subtitle of host publicationImproving Relations, Proceedings
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450353649
StatePublished - 21 Nov 2017
Event4rth International Conference on Animal-Computer Interaction, ACI 2017 - Milton Keynes, United Kingdom
Duration: 21 Nov 201723 Nov 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F132525


Conference4rth International Conference on Animal-Computer Interaction, ACI 2017
Country/TerritoryUnited Kingdom
CityMilton Keynes

Bibliographical note

Publisher Copyright:
© 2017 Association for Computing Machinery.


  • ACI
  • Automatic Behavior Recognition
  • Computer Vision
  • Ethology
  • Video Processing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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