Joint tracking and classification of airbourne objects using particle filters and the continuous transferable belief model

2006 9th International Conference on Information Fusion, FUSION

Volumn , Issue , 2006, Pages

  Powell, Gavin ^a   Marshall, David ^a   Smets, Philippe ^b   Ristic, Branko ^c   Maskell, Simon ^d  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c DSTO Australia ^*

^d QINETIQ   (United Kingdom)

Author keywords

Classification; Particle filter; Tracking; Transferable belief model

Indexed keywords

AIR FILTERS; BAYESIAN NETWORKS; DATA FUSION; DISTRIBUTED COMPUTER SYSTEMS; FUSION REACTIONS; IMAGE CLASSIFICATION; INFORMATION FUSION; NONLINEAR FILTERING; NUCLEAR PHYSICS; SENSOR DATA FUSION; SIGNAL FILTERING AND PREDICTION; TARGET TRACKING; WAVE FILTERS;

BAYESIAN CLASSIFICATION; BAYESIAN CLASSIFIERS; CLASSIFICATION; INTERNATIONAL CONFERENCES; JOINT TRACKING AND CLASSIFICATION; PARTICLE FILTER; PARTICLE FILTERING; PRIOR KNOWLEDGE; ROBUST CLASSIFICATION; TRACKING; TRANSFERABLE BELIEF MODEL;

CLASSIFICATION (OF INFORMATION);

EID: 50149120754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2006.301718     Document Type: Conference Paper

References (9)

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