An efficient real-time speed limit signs recognition based on rotation invariant feature

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2011, Pages 1000-1005

  Liu, Wei ^a,b   Lv, Jin ^c   Gao, Haihua ^c   Duan, Bobo ^d   Yuan, Huai ^b   Zhao, Hong ^b  

^a NORTHEASTERN UNIVERSITY   (China)

^b NEUSOFT CORPORATION   (China)

^c NORTHEASTERN UNIVERSITY   (China)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREE ARCHITECTURE; COMPUTATIONAL LOADS; DENOISING METHODS; DESCRIPTORS; DETECTION STAGE; DUAL-CORE; FAST RADIAL SYMMETRY TRANSFORM; PROCESSING TIME; RECOGNITION SYSTEMS; ROTATION INVARIANT FEATURES; SPEED LIMIT;

BINARY TREES; DETECTORS; ERROR DETECTION; FACE RECOGNITION; FEATURE EXTRACTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; ROTATION; SPEED;

TRAFFIC SIGNS;

EID: 79960784338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2011.5940428     Document Type: Conference Paper

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