Road vehicle classification using support vector machines

Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009

Volumn 4, Issue , 2009, Pages 214-218

  Chen, Zezhi ^a   Pears, Nick ^b   Freeman, Michael ^b   Austin, Jim ^b  

^a CYBULA LTD   (United Kingdom)

^b UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Background subtraction; Gaussian mixture model; Support vector machine(SVM); Vehicle classification

Indexed keywords

BACKGROUND SUBTRACTION; BACKGROUND SUBTRACTION ALGORITHMS; BINARY CLASSIFIERS; EMBEDDED HARDWARE; FEATURE VECTORS; FOREGROUND SEGMENTATION; GAUSSIAN MIXTURE MODEL; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; PATTERN RECOGNITION AND CLASSIFICATION; RECOGNITION RATES; ROAD VEHICLES; VEHICLE CLASSIFICATION; VEHICLE TYPES;

ASPECT RATIO; COMMUNICATION CHANNELS (INFORMATION THEORY); FACE RECOGNITION; GEARS; GRAPHIC METHODS; IMAGE RETRIEVAL; IMAGE SEGMENTATION; INTELLIGENT COMPUTING; INTELLIGENT SYSTEMS; MIXTURES; MULTILAYER NEURAL NETWORKS; ROADS AND STREETS; VECTORS; VEHICLES;

SUPPORT VECTOR MACHINES;

EID: 77949505245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICISYS.2009.5357707     Document Type: Conference Paper

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