Scene analysis system

Author

Sandakly, F. ; Giraudon, G.

Author_Institution

Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France

Volume

3

fYear

1994

fDate

13-16 Nov 1994

Firstpage

806

Abstract

This paper presents MESSIE, a multi-specialist scene analysis system. It is a centralized hierarchical blackboard architecture. The generic model of objects and the explicit description of sensors and materials allow the use of an application-independent interpretation strategy. Three applications of 2D and 3D scene analysis have been developed to validate MESSIE. The architecture of MESSIE, the objects model and the different interpretation and detection strategies are included. Current experiments on indoor scene interpretation and an interpretation running example using constrained low-level feature extraction mechanism to improve low-level processing results are described

Keywords

blackboard architecture; feature extraction; knowledge representation; robot vision; 2D scene analysis; 3D scene analysis; MESSIE; application-independent interpretation; blackboard control; centralized hierarchical blackboard architecture; experiments; generic model; indoor scene interpretation; low-level feature extraction; low-level processing results; materials; multi-specialist scene analysis system; objects model; robotic environment; semantic object modeling; sensors; Autonomous agents; Condition monitoring; Data mining; Image analysis; Image segmentation; Intelligent agent; Layout; Object detection; Sensor phenomena and characterization; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413777

Filename

413777