An efficient tree classifier ensemble-based approach for pedestrian detection

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 41, Issue 1, 2011, Pages 107-117

  Xu, Yanwu ^a,b   Cao, Xianbin ^a,c   Qiao, Hong ^d,e  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c BEIHANG UNIVERSITY   (China)

^d INSTITUTE OF AUTOMATION   (China)

^e UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Efficient classification; false positive rate (FPR); pedestrian detection; performance evaluation; radial basis function (RBF) neural network

Indexed keywords

EFFICIENT CLASSIFICATION; FALSE-POSITIVE RATE (FPR); PEDESTRIAN DETECTION; PERFORMANCE EVALUATION; RADIAL BASIS FUNCTION (RBF) NEURAL NETWORK;

CLASSIFIERS; NEURAL NETWORKS; OPTIMIZATION; SPEED;

RADIAL BASIS FUNCTION NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMETRY; CAR; HUMAN; IMAGE PROCESSING; METHODOLOGY; PHYSIOLOGY; TRAFFIC ACCIDENT; WALKING;

ACCIDENTS, TRAFFIC; ALGORITHMS; AUTOMOBILES; BIOMETRY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); WALKING;

EID: 79551689218     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2010.2046890     Document Type: Article

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