Towards a Rodent Tracking and Behaviour Detection System in Real Time

  • José Arturo Cocoma-OrtegaEmail author
  • Jose Martinez-Carranza
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11524)


To analyze rodent behaviors in non-conditioned animal models is an important task that enables a researcher to elaborated conclusions about the effects in the behavior after drug application. Because the amount of data generated in the use of this kind of test, an automatized system that can record these behaviors becomes relevant. There are several proposals aiming at identifying and tracking the rodent in the open field maze, however, behavior identification is a highly desirable feature that is not included. Other works can identify behaviors, but due to high computational costs, special computers or devices are required. In this work, we propose an automatic system based on features computed by a stochastic filter that allows the development of rules to detect specific behaviors exhibited in the open field maze. We demonstrate that it is possible to track a rodent and identify behaviors in real-time (30 fps) and also in high speed (>100Hz) without the need of powerful devices or special conditions for the environment.


Rodent tracking Behavior detection Extended Kalman Filter 



We thank Ilhuicamina Daniel Limón Pérez de León, Ph.D., head research of Neuroscience laboratory from Benemérita Universidad Autónoma de Puebla for provided to us the data set for the evaluation and for the guidance about the behaviors that are interesting to detect in the open field maze.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • José Arturo Cocoma-Ortega
    • 1
    Email author
  • Jose Martinez-Carranza
    • 1
    • 2
  1. 1.Instituto Nacional de Astrofísica, Óptica y ElectrónicaCholulaMexico
  2. 2.University of BristolBristolUK

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