Motion Saliency Maps from Spatiotemporal Filtering
- 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
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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