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. © 2009 Springer Berlin Heidelberg.
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|Titolo:||Motion saliency maps from spatiotemporal filtering|
|Data di pubblicazione:||2009|
|Citazione:||Motion saliency maps from spatiotemporal filtering / Belardinelli, Anna; PIRRI ARDIZZONE, Maria Fiora; Carbone, Andrea. - STAMPA. - 5395 LNAI(2009), pp. 112-123. ((Intervento presentato al convegno 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008 tenutosi a Fira, Santorini nel 12 May 2008 through 12 May 2008.|
|Appare nella tipologia:||02a Capitolo, Articolo o Contributo|