Title :
Information fusion modal and multi-perception system
Author :
Rujie, Liu ; Baozong, Yuan
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
Data fusion techniques combine data from multiple sensors, and related information from associated databases, to achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. Data can be combined at three levels: the raw data level, feature level and decision level. Furthermore, a general fusion modal is proposed and Dempster-Shafer fusion operator is introduced.
Keywords :
decision theory; information theory; sensor fusion; Dempster-Shafer fusion operator; data fusion; databases; decision level; feature level; information fusion modal; multiperception system; multiple sensors; raw data level; Biosensors; Data mining; Ear; Feature extraction; Image sensors; Information science; Sensor fusion; Sensor phenomena and characterization; Spatial databases; Speech;
Conference_Titel :
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location :
Beijing, China
Print_ISBN :
7-5635-0402-8
DOI :
10.1109/APCC.1999.820429