Title | ||
---|---|---|
Transfer learning for vehicle detection using two cameras with different focal lengths. |
Abstract | ||
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•A transfer learning based vehicle detection method is proposed for two cameras with different focal lengths and effectively solves tiny object size problems.•REAL is introduced to compute relationship between two cameras effectively.•Vehicle datasets using cameras with different focal lengths were captured and labeled to evaluate vehicle detection methods. Experimental results show the proposed vehicle detection method significantly outperforms baseline methods. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.ins.2019.11.034 | Information Sciences |
Keywords | Field | DocType |
Transfer learning,Object detection,Different focal lengths | Computer vision,Evolutionary algorithm,Convolutional neural network,Convolution,Transfer of learning,Vehicle detection,Focal length,Artificial intelligence,Detector,Mathematics,Machine learning,Binary number | Journal |
Volume | ISSN | Citations |
514 | 0020-0255 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vinh Quang Dinh | 1 | 1 | 0.35 |
Farzeen Munir | 2 | 7 | 3.77 |
Shoaib Azam | 3 | 1 | 1.37 |
Kin Choong Yow | 4 | 264 | 62.38 |
Moongu Jeon | 5 | 456 | 72.81 |