Multi-agent System for Tracking and Classification of Moving Objects

  • Sergio SánchezEmail author
  • Sara Rodríguez
  • Fernando De la Prieta
  • Juan F. De Paz
  • Javier Bajo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 373)


In the past, computational barriers have limited the complexity of video and image processing applications but recently, faster computers have enabled researchers to consider more complex algorithms which can deal successfully with vehicle and pedestrian detection technologies. However, much of the work only pays attention to the accuracy of the final results provided by the systems, leaving aside the computational efficiency. Therefore, this paper describes a system using a paradigm of multi-agent system capable of regulating itself dynamically taking into account certain parameters pertaining to detection, tracking and classification, to reduce the computational burden as low as possible at all times without this in any way compromise the reliability of the result.


Computer Vision Agents Multi-Agent System Vehicle Detection Vehicle Counting Pedestrian Detection Classifiers Video-Surveillance 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Sergio Sánchez
    • 1
    Email author
  • Sara Rodríguez
    • 1
  • Fernando De la Prieta
    • 1
  • Juan F. De Paz
    • 1
  • Javier Bajo
    • 2
  1. 1.Computer and Automation DepartmentUniversity of SalamancaSalamancaSpain
  2. 2.Artificial Intelligence DepartmentPolytechnic University of MadridMadridSpain

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