Animal Social Behaviour: A Visual Analysis

  • Ester Martinez-Martin
  • Angel P. del Pobil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8575)


Social activities are among the most striking of animal behaviours, providing knowledge about their intelligence, cognition and evolution. However, their observation in the field can be especially arduous. To address this, image processing methods have been developed. However, despite the extensively research on this topic, multiple object tracking still remains a very hard problem due to the wide variety of issues to be overcome (e.g. changes in illumination conditions, stopped colony member, occlusions, etc.). In this paper, we contribute a novel visual tracking application addressing the challenge of detecting and simultaneously tracking hundreds of animals in their habitat. For that, motion is used as primary cue. The system was validated in experiments with laboratory colonies of micro-robots and several example analysis of dewlap lizard’s behaviour.


Background Model Colony Member Circular Trajectory Laboratory Coloni Multiple Object Tracking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ester Martinez-Martin
    • 1
  • Angel P. del Pobil
    • 1
  1. 1.Robotic Intelligence Lab (RobInLab)Universitat Jaume-ICastellónSpain

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