International Workshop on Attention in Cognitive Systems

WAPCV 2008: Attention in Cognitive Systems pp 112-123

Motion Saliency Maps from Spatiotemporal Filtering

  • Anna Belardinelli
  • Fiora Pirri
  • Andrea Carbone
Conference paper

DOI: 10.1007/978-3-642-00582-4_9

Volume 5395 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Belardinelli A., Pirri F., Carbone A. (2009) Motion Saliency Maps from Spatiotemporal Filtering. In: Paletta L., Tsotsos J.K. (eds) Attention in Cognitive Systems. WAPCV 2008. Lecture Notes in Computer Science, vol 5395. Springer, Berlin, Heidelberg

Abstract

For artificial systems acting and perceiving in a dynamic world a core ability is to focus on aspects of the environment that can be crucial for the task at hand. Perception in autonomous systems needs to be filtered by a biologically inspired selective ability, therefore attention in dynamic settings is becoming a key research issue.

In this paper we present a model for motion salience map computation based on spatiotemporal filtering. We extract a measure of coherent motion energy and select by the center-surround mechanism relevant zones that accumulate most energy and therefore contrast with surroundings in a given time slot.

The method was tested on synthetic and real video sequences, supporting biological plausibility.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Anna Belardinelli
    • 1
  • Fiora Pirri
    • 1
  • Andrea Carbone
    • 1
  1. 1.Dipartimento di Informatica e SistemisticaSapienza University of RomeItaly