Paper Abstract and Keywords |
Presentation |
2023-02-21 10:30
A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition is often applied in complex systems, such as autonomous driving, with sufficient social impact. In previous studies, convolutional neural networks were used to obtain features of traffic signs from images or videos. However, the recognition accuracy directly using neural networks is not high because it is difficult to get appropriate semantic information. This paper proposes a new method for traffic sign recognition based on a vision transformer adapter model using visual feature matching. First, we obtain segmentation binary masks of traffic signs using the vision transformer adapter model. Second, the coordinates of the generated segmentation masks are computed and used to extract traffic sign images from original city images. Finally, we calculate the similarity between the removed and the template traffic sign images at the feature level to perform traffic sign recognition. Experimental results show that the proposed method achieved promising results on a real-world dataset taken in Sapporo city, Japan. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Traffic sign recognition / vision transformer adapter / visual feature matching / real-world dataset / / / / |
Reference Info. |
ITE Tech. Rep., vol. 47, no. 6, ME2023-21, pp. 1-4, Feb. 2023. |
Paper # |
ME2023-21 |
Date of Issue |
2023-02-14 (MMS, ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
MMS ME AIT IEICE-IE IEICE-ITS |
Conference Date |
2023-02-21 - 2023-02-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processing, etc. |
Paper Information |
Registration To |
ME |
Conference Code |
2023-02-MMS-ME-AIT-IE-ITS |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching |
Sub Title (in English) |
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Keyword(1) |
Traffic sign recognition |
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vision transformer adapter |
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visual feature matching |
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real-world dataset |
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1st Author's Name |
Yaozong Gan |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Guang Li |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Ren Togo |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Keisuke Maeda |
4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
5th Author's Name |
Takahiro Ogawa |
5th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
6th Author's Name |
Miki Haseyama |
6th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-02-21 10:30:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
MMS2023-1, ME2023-21, AIT2023-1 |
Volume (vol) |
vol.47 |
Number (no) |
no.6 |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2023-02-14 (MMS, ME, AIT) |