Natural Language Texts for a Cognitive Vision System

Natural Language Texts for a Cognitive Vision System (2002)

by Michael Arens , Artur Ottlik , Hans-Hellmut Nagel

Venue:	in Proceedings of the 15th European Conference On Artificial Intelligence (ECAI-2002
Citations:	13 - 3 self

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Datum	Value	Source
TITLE	Natural Language Texts for a Cognitive Vision System	user correction - Legacy Corrections
AUTHOR NAME	Michael Arens	user correction - Legacy Corrections
AUTHOR NAME	Artur Ottlik	user correction - Legacy Corrections
AUTHOR NAME	Hans-Hellmut Nagel	user correction - Legacy Corrections
ABSTRACT	Text-to-logic conversion is studied in a system approach which extracts a conceptual representation of temporal developments within a road traffic scene recorded by a video camera. A Fuzzy Metric Temporal Horn Logic (FMTHL) facilitates a schematic representation of road vehicle behavior at intersections. Geometric results of a model-based vehicle detection and tracking subsystem are used to interpret this generic conceptual FMTHL representation in order to obtain a conceptual description of the specific developments in the recorded traffic scene.	user correction - Legacy Corrections
YEAR	2002	INFERENCE
VENUE	in Proceedings of the 15th European Conference On Artificial Intelligence (ECAI-2002	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	455--459	INFERENCE
CITATIONS	18 found	ParsCit 1.0