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ROBUST AND EFFICIENT EVENT DETECTION FOR THE MONITORING OF AUTOMATED PROCESSES
 

Summary: ROBUST AND EFFICIENT EVENT DETECTION FOR
THE MONITORING OF AUTOMATED PROCESSES
Thomas Sarmis, Antonis A. Argyros, Manolis I.A. Lourakis, Kostas Hatzopoulos
Foundation for Research and Technology Hellas (FORTH)
Heraklion, Crete, Greece
{sarmis, argyros, lourakis, hatzop}@ics.forth.gr
Keywords: vision-based event detection, process
monitoring
Abstract
We present a new approach for the detection of events
in image sequences. Our method relies on a number of
logical sensors that can be defined over specific
regions of interest in the viewed scene. These sensors
measure time varying image properties that can be
attributed to primitive events of interest. Thus, the
logical sensors can be viewed as a means to transform
image data to a set of symbols that can assist event
detection and activities interpretation. On top of these
elementary sensors, temporal and logical aggregation
mechanisms are used to define hierarchies of

  

Source: Argyros, Antonis - Foundation of Research and Technology, Hellas & Department of Computer Science, University of Crete
Trahanias, Panos - Institute of Computer Science, Foundation of Research and Technology, Hellas

 

Collections: Computer Technologies and Information Sciences