Identification of degraded traffic sign symbols using multi-class support vector machines

Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

Volumn , Issue , 2007, Pages 2467-2471

  Li, Lunbo ^a   Guangfu, Ma ^a   Ding, Shuyan ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Combined blur affine invariants; Degraded image; Multi class support vector machines; Traffic signs identification

Indexed keywords

FEATURE EXTRACTION; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; VECTORS;

COMBINED BLUR AFFINE INVARIANTS; IMAGE DEGRADATIONS; TRAFFIC SIGNS IDENTIFICATION;

TRAFFIC SIGNS;

EID: 37048999342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2007.4303943     Document Type: Conference Paper

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