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A Vision System for Symbolic Interpretation of Dynamic Scenes Using ARSOM

Academic Article
Publication Date:
2001
abstract:
We describe an artificial high-level vision system for the symbolic interpretation of data coming from a video camera that acquires the image sequences of moving scenes. The system is based on ARSOM neural networks that learn to generate the perception-grounded predicates obtained by image sequences, The ARSOM neural networks also provide a three-dimensional estimation of the movements of the relevant objects in the scene. The vision system has been employed in two scenarios: the monitoring of a robotic arm suitable for space operations, and the surveillance of an electronic data processing (EDP) center.
Iris type:
01.01 Articolo in rivista
Keywords:
Computer vision; Image analysis; Intelligent agents; Motion estimation; Neural networks; Robotic arms; Video cameras; Artificial high level vision system; Symbolic interpretation; Artificial intelligence
List of contributors:
Infantino, Ignazio
Authors of the University:
INFANTINO IGNAZIO
Handle:
https://iris.cnr.it/handle/20.500.14243/189794
Published in:
APPLIED ARTIFICIAL INTELLIGENCE
Journal
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