A multi-class object classifier using boosted Gaussian mixture model

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

Volumn 6443 LNCS, Issue PART 1, 2010, Pages 430-437

  Lee, Wono ^a   Lee, Minho ^a  

^a Kyungpook National University   (South Korea)

Author keywords

Adaptive boosting; Gaussian mixture model; Object classification; Traffic surveillance system

Indexed keywords

GAUSSIAN MIXTURE MODEL; MULTI-CLASS; OBJECT CLASSIFICATION; REAL ROAD ENVIRONMENTS; ROBUST CLASSIFICATION; TRAFFIC SURVEILLANCE; CLASS OBJECTS;

ADAPTIVE BOOSTING; CLASSIFIERS; COMPUTATIONAL EFFICIENCY; COMPUTER VISION; DATA PROCESSING; GAUSSIAN DISTRIBUTION; MONITORING; ROADS AND STREETS; SECURITY SYSTEMS; COMPUTATION THEORY; OBJECT RECOGNITION;

OBJECT RECOGNITION; CLASSIFICATION (OF INFORMATION);

EID: 78650211629     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17537-4_53     Document Type: Conference Paper

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