Region proposal network based on context information feature fusion for vehicle detection
This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173795. By using the traditional methods, the feature information extracted from vehicle target detection is insufficient, which leads to the low accuracy in identifying small targe...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2022-01-01
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| Series: | EAI Endorsed Transactions on Scalable Information Systems |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/sis/article/view/334 |
| _version_ | 1798027569868570624 |
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| author | Zengyong Xu |
| author_facet | Zengyong Xu |
| author_sort | Zengyong Xu |
| collection | DOAJ |
| description |
This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173795.
By using the traditional methods, the feature information extracted from vehicle target detection is insufficient, which leads to the low accuracy in identifying small target vehicles or blocked targets. Therefore, we propose a region proposal network (RPN) based on context information feature fusion for vehicle detection. RPN obtains feature vectors of fixed length as vehicle target features. Context information fusion network obtains the corresponding context information features on the feature maps of different layers. Finally, the two features are fused. In addition, in order to solve the problem of data imbalance, experiments on PASCAL VOC2007 and PASCAL VOC2012 data sets with difficult sample training show that the proposed method has significantly improved the mean average accuracy (mAP) compared with other methods.
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| first_indexed | 2024-04-11T18:53:44Z |
| format | Article |
| id | doaj.art-04703be446aa49f490aa2c41e300319f |
| institution | Directory Open Access Journal |
| issn | 2032-9407 |
| language | English |
| last_indexed | 2024-04-11T18:53:44Z |
| publishDate | 2022-01-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Scalable Information Systems |
| spelling | doaj.art-04703be446aa49f490aa2c41e300319f2022-12-22T04:08:15ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Scalable Information Systems2032-94072022-01-019410.4108/eai.27-1-2022.173161Region proposal network based on context information feature fusion for vehicle detectionZengyong Xu0Henan College of Transportation This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173795. By using the traditional methods, the feature information extracted from vehicle target detection is insufficient, which leads to the low accuracy in identifying small target vehicles or blocked targets. Therefore, we propose a region proposal network (RPN) based on context information feature fusion for vehicle detection. RPN obtains feature vectors of fixed length as vehicle target features. Context information fusion network obtains the corresponding context information features on the feature maps of different layers. Finally, the two features are fused. In addition, in order to solve the problem of data imbalance, experiments on PASCAL VOC2007 and PASCAL VOC2012 data sets with difficult sample training show that the proposed method has significantly improved the mean average accuracy (mAP) compared with other methods. https://publications.eai.eu/index.php/sis/article/view/334RPNvehicle detectioncontext information fusion |
| spellingShingle | Zengyong Xu Region proposal network based on context information feature fusion for vehicle detection EAI Endorsed Transactions on Scalable Information Systems RPN vehicle detection context information fusion |
| title | Region proposal network based on context information feature fusion for vehicle detection |
| title_full | Region proposal network based on context information feature fusion for vehicle detection |
| title_fullStr | Region proposal network based on context information feature fusion for vehicle detection |
| title_full_unstemmed | Region proposal network based on context information feature fusion for vehicle detection |
| title_short | Region proposal network based on context information feature fusion for vehicle detection |
| title_sort | region proposal network based on context information feature fusion for vehicle detection |
| topic | RPN vehicle detection context information fusion |
| url | https://publications.eai.eu/index.php/sis/article/view/334 |
| work_keys_str_mv | AT zengyongxu regionproposalnetworkbasedoncontextinformationfeaturefusionforvehicledetection |