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Multispectral pedestrian detection: Benchmark dataset and baseline
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Soonmin | - |
dc.contributor.author | Park, Jaesik | - |
dc.contributor.author | Kim, Namil | - |
dc.contributor.author | Choi, Yukyung | - |
dc.contributor.author | Kweon, In So | - |
dc.date.accessioned | 2024-05-09T04:14:20Z | - |
dc.date.available | 2024-05-09T04:14:20Z | - |
dc.date.created | 2024-05-09 | - |
dc.date.created | 2024-05-09 | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol.07-12-June-2015, pp.1037-1045 | - |
dc.identifier.issn | 1063-6919 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201327 | - |
dc.description.abstract | With the increasing interest in pedestrian detection, pedestrian datasets have also been the subject of research in the past decades. However, most existing datasets focus on a color channel, while a thermal channel is helpful for detection even in a dark environment. With this in mind, we propose a multispectral pedestrian dataset which provides well aligned color-thermal image pairs, captured by beam splitter-based special hardware. The color-thermal dataset is as large as previous color-based datasets and provides dense annotations including temporal correspondences. With this dataset, we introduce multispectral ACF, which is an extension of aggregated channel features (ACF) to simultaneously handle color-thermal image pairs. Multi-spectral ACF reduces the average miss rate of ACF by 15%, and achieves another breakthrough in the pedestrian detection task. | - |
dc.language | 영어 | - |
dc.publisher | IEEE | - |
dc.title | Multispectral pedestrian detection: Benchmark dataset and baseline | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/CVPR.2015.7298706 | - |
dc.citation.journaltitle | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | - |
dc.identifier.wosid | 000387959201006 | - |
dc.identifier.scopusid | 2-s2.0-84959233867 | - |
dc.citation.endpage | 1045 | - |
dc.citation.startpage | 1037 | - |
dc.citation.volume | 07-12-June-2015 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Park, Jaesik | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
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