Multilevel data-fusion for detection of moving objects

Author

Giusto, Daniele D. ; Regazzoni, Carlo S. ; Vernazza, Gianni

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

1989

fDate

14-17 Nov 1989

Firstpage

931

Abstract

A knowledge-based vision system called DOORS (Distributed Object-Oriented Recognition System), for obstacle detection and tracking, is presented. It integrates multisensory information sources by adaptively selecting appropriate fusion strategies at the abstraction levels of both physical and virtual sensors. The basic methodology adopted for data representation and processing control has several points in common with object-oriented programming techniques and with blackboard approaches. Some preliminary results are presented for the case of an obstacle moving on a country-road scene

Keywords

computer vision; computerised pattern recognition; distributed processing; knowledge based systems; object-oriented programming; DOORS; Distributed Object-Oriented Recognition System; IKBS; computer vision; country-road scene; knowledge-based vision system; moving object detection; multilevel data fusion; multisensory information sources; obstacle detection; pattern recognition; sensory integration; tracking; virtual sensors; Cameras; Computer vision; Data mining; Face detection; Infrared sensors; Machine vision; Object detection; Sensor fusion; Sensor phenomena and characterization; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on

Conference_Location

Cambridge, MA

Type

conf

DOI

10.1109/ICSMC.1989.71432

Filename

71432