DocumentCode
457007
Title
Identification of degraded traffic sign symbols by a generative learning method
Author
Ishida, Hiroyuki ; Takahashi, Tomokazu ; Ide, Ichiro ; Mekada, Yoshito ; Murase, Hiroshi
Author_Institution
Graduate Sch. of Inf. Sci., Nagoya Univ.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
531
Lastpage
534
Abstract
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly degraded images as training data. Our method artificially generates these data from an original image in accordance with the actual degradations. We experimentally confirmed the usefulness of our method for the camera-based traffic sign recognition
Keywords
image recognition; learning (artificial intelligence); traffic engineering computing; camera-based traffic sign recognition; degraded traffic sign symbol identification; generative learning method; image degradations; traffic sign symbol recognition; Cameras; Degradation; Image edge detection; Image generation; Image recognition; Image segmentation; Information science; Learning systems; Shape; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.674
Filename
1698948
Link To Document