On the optimality of motion-based particle filtering

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 19, Issue 7, 2009, Pages 1068-1072

  Bouaynaya, Nidhal ^a   Schonfeld, Dan ^b  

^a University of Arkansas   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Adaptive block matching; Kullback Leibler (KL) divergence; Motion estimation; Particle filtering; Video tracking

Indexed keywords

ADAPTIVE BLOCK MATCHING; ANALYTICAL EXPRESSIONS; CONDENSATION FILTER; DENSITY FUNCTIONS; DIRECT SAMPLING; KL-DIVERGENCE; KULLBACK-LEIBLER (KL) DIVERGENCE; KULLBACK-LEIBLER DIVERGENCE; MOTION VECTORS; OBJECT TRACKING; OPTIMAL DISTRIBUTIONS; OPTIMALITY; PARTICLE FILTER; PARTICLE FILTERING; PERFORMANCE MEASURE; PROPOSAL DISTRIBUTION; PROPOSAL FUNCTIONS; SIMILARITY MEASURE; SIMULATION RESULT; STATE TRANSITIONS; VIDEO TRACKING;

ACOUSTIC SIGNAL PROCESSING; AIR FILTERS; CONDENSATION; DISTRIBUTED COMPUTER SYSTEMS; ESTIMATION; MOTION COMPENSATION; MOTION ESTIMATION; OPTIMIZATION; TARGET TRACKING; VIDEO RECORDING;

NONLINEAR FILTERING;

EID: 68249130415     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2009.2020477     Document Type: Article

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