Tracking of multiple targets using online learning for reference model adaptation

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 6, 2008, Pages 1465-1475

  Pernkopf, Franz ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Genetic algorithms (GAs); Multiple target tracking; Particle filter; Reference model learning; Visual tracking

Indexed keywords

AIR FILTERS; DISTRIBUTED COMPUTER SYSTEMS; E-LEARNING; EDUCATION; GENETIC ALGORITHMS; INTERNET; NONLINEAR FILTERING; SIGNAL FILTERING AND PREDICTION; TARGET TRACKING; TARGETS; WAVE FILTERS;

AND GENETIC ALGORITHMS; APPEARANCE CHANGES; INDIVIDUAL OBJECTS; LEARNING RATES; MULTIPLE OBJECT TRACKING; MULTIPLE OBJECTS; MULTIPLE TARGET TRACKING; MULTIPLE TARGETS; OBJECT MOVEMENTS; ON-LINE LEARNINGS; ONE HANDS; OUTDOOR SCENES; PARTICLE FILTER; PARTICLE FILTERS; REFERENCE MODEL LEARNING; REFERENCE MODELS; ROBUST TRACKING; SAMPLE DISTRIBUTIONS; STANDARD DEVIATIONS; TARGET REGIONS; TRACKED OBJECTS; VISUAL TRACKING;

LEARNING ALGORITHMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MOTION; ONLINE SYSTEM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; MOTION; ONLINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 57049152352     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.927281     Document Type: Article

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