Building visual memories of video streams

Building visual memories of video streams

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A real-time method that automatically creates a visual memory of a scene using the growing neural gas (GNG) algorithm is described. The memory consists of a graph where nodes encode the visual information of a video stream as a limited set of representative images. GNG nodes are automatically generated and dynamically clustered. This method could be employed by robotic platforms in exploratory and rescue missions.


    1. 1)
      • B. Fritzke , G. Tesauro , D.S. Touretzky , T.K. Leen . (1995) A growing neural gas network learns topologies, Advances in neural information processing systems 7.
    2. 2)
      • Holmström, J.: `Growing neural gas experiments with GNG, GNG with utility and supervised GNG', , Master's, Uppsala University.
    3. 3)
    4. 4)
      • Green M.: Eyewitness memory is unreliable,
    5. 5)
      • Garcá-Rodrguez, J., Flórez-Revuelta, F., Garcá-Chamizo, J.M.: `Hybrid gng architecture learns features in images', Proc. 3rd Int. Workshop on Hybrid Artificial Intelligence Systems, (HAIS '08), 2008, Heidelberg, Berlin, Springer-Verlag, p. 451–457.
    6. 6)
      • Donatti, G.S., Wurtz, R.P.: `Using growing neural gas networks to represent visual object knowledge', 21stInt. Conf. Tools with Artificial Intelligence, 2009, (ICTAI '09)., November 2009, p. 54–58.
    7. 7)
      • K.N. Ngan , H. Li . (2011) Video segmentation and its applications.
    8. 8)

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