Robust Chromatic Identification and Tracking

  • Authors:

  • José M. Ramírez;Gianmichele Grittani

  • Affiliations:

  • -;-

  • Venue:
  • IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
  • Year:
  • 2001

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Abstract

The present work focuses on the implementation of a robust and fault tolerant global vision system for RoboCup Small League soccer teams. It is based on a vision control approach, in which vision processes are guided by necessit yof information and knowledge about the environment. The object detection is based on a chromatic approach where chromatic patterns were modeled using a mixture of gaussian functions, trained with a stochastic gradien tdescen t method. The implemented system meets, and in certain cases exceeds, the functionality required to participate in RoboCup and reported in related works.