Event Detection and Fusion Model for Semantic Interpretation of Monitored Scenarios within ASIMS Architecture - Foundations on Natural and Artificial Computation - page 527

Fig. 5. Scenario model

Tabl e 2 . Event group table

Node Type Event H X Y Timestamp

Node 1 Acquisition At Human59 548 659 346543775

Node 2 Acquisition At Human48 547 657 346543775

Node 3 Acquisition At Human73 551 660 346543775

Central Fusion At GlobalHuman65 548 659 346543775

5 Conclusions

The semantic interpretation of monitored scenes implies linking physical signals
received by sensors with their meaning (ref al proyecto) for a human (semantic
gap), i.e. with the diagnosis of what is occurring in front of him (if he were
observing all of it), either as a support system or to activate a coherent automatic
response system (without the human).
This work has presented a specific structure for the acquisition and fusion of
events, from the object level, which forms part of the global ASIMS architecture.
In remote processing nodes, events caused by variations in magnitudes in the
common data model are identified via finite automata models. These events are