Selecting features for object detection using an AdaBoost-compatible evaluation function

Pattern Recognition Letters

Volumn 29, Issue 11, 2008, Pages 1603-1612

  Fürst, Luka ^a   Fidler, Sanja ^a   Leonardis, Aleš ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

AdaBoost; Feature selection; Object detection

Indexed keywords

ALGORITHMS; ARCHITECTURAL DESIGN; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; EVOLUTIONARY ALGORITHMS; EXTRACTION; FUNCTION EVALUATION; FUNCTIONS; OBJECT RECOGNITION; PAPER; SCHEDULING ALGORITHMS; SET THEORY; SIGNAL DETECTION; SOLVENT EXTRACTION;

ADABOOST; APPLIED (CO); DETECTION ACCURACY; DETECTION ALGORITHMS; ELSEVIER (CO); EVALUATION FUNCTIONS; FEATURE EXTRACTION ALGORITHMS; INDIVIDUAL (PSS 544-7); INPUT IMAGES; OBJECT DETECTION; PAPER ADDRESSES; SELECTION PROCEDURES; VISUAL OBJECTS;

FEATURE EXTRACTION;

EID: 45449100708     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.03.020     Document Type: Article

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