Statistical patch-based observation for single object tracking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6979 LNCS, Issue PART 2, 2011, Pages 119-129

  Zulkifley, Mohd Asyraf ^a   Moran, Bill ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Maximum likelihood; Neyman Pearson; Poisson modelling; Tracking observation

Indexed keywords

AMBIENT ILLUMINATION; BAYESIAN APPROACHES; COLOUR MODELS; FEATURE-BASED; FOREGROUND OBJECTS; ILLUMINATION CHANGES; MATCHINGS; NEYMAN-PEARSON; OBJECT MATCHING; PATCH MATCHING; POINT OF INTEREST; POISSON MODELLING; SINGLE OBJECT; TEMPLATE BASED METHODS; TEMPLATE-BASED; VIDEO SCENE;

ALGORITHMS; BAYESIAN NETWORKS; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; POISSON DISTRIBUTION;

IMAGE MATCHING;

EID: 80052974298     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24088-1_13     Document Type: Conference Paper

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