A Bayesian filtering approach to object tracking and shape recovery from tomographic measurement data

IEEE International Symposium on Industrial Electronics

Volumn 4, Issue , 2006, Pages 2814-2819

  Watzenig, Daniel ^a   Brandner, Markus ^a   Steiner, Gerald ^a   Wegleiter, Hannes ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CHEMICAL INDUSTRY; DATA STRUCTURES; DIAGNOSTIC RADIOGRAPHY; FILTRATION; FLOW PATTERNS; INDUSTRIAL ELECTRONICS; MEDICAL IMAGING; SHAPE OPTIMIZATION; SIGNAL PROCESSING; TOMOGRAPHY; TWO PHASE FLOW;

BAYESIAN; BAYESIAN FILTERING; CONTOUR MODELING; DYNAMIC TOMOGRAPHY; ELECTRICAL CAPACITANCE TOMOGRAPHY; ESTIMATION PROBLEMS; FOURIER DESCRIPTOR; GAS-LIQUID FLOWS; GAS-SOLID; HETEROGENEOUS FLOWS; HIGH FREQUENCIES; INTERNATIONAL SYMPOSIUM; LOW-PASS; MATERIAL DISTRIBUTIONS; MEASUREMENT DATA; NON-STATIONARY OBJECTS; OBJECT BOUNDARIES; OBJECT TRACKING; PAPER ADDRESSES; PNEUMATIC CONVEYING; PRIOR INFORMATION; RECURSIVE FILTERING; SECOND ORDERS; SHAPE RECOVERY; SIGNAL PROCESSING ALGORITHMS; TEST OBJECTS; TIME-VARYING; TOMOGRAPHIC; TOMOGRAPHIC DATA;

AIR FILTERS;

EID: 53849142536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2006.296061     Document Type: Conference Paper

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