DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seokju | ko |
dc.contributor.author | Huh, Sungsik | ko |
dc.contributor.author | Yoo, Donggeun | ko |
dc.contributor.author | Kweon, In So | ko |
dc.contributor.author | Shim, David Hyunchul | ko |
dc.date.accessioned | 2017-11-08T05:27:36Z | - |
dc.date.available | 2017-11-08T05:27:36Z | - |
dc.date.created | 2017-10-31 | - |
dc.date.created | 2017-10-31 | - |
dc.date.created | 2017-10-31 | - |
dc.date.issued | 2015-10-28 | - |
dc.identifier.citation | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015, pp.362 - 367 | - |
dc.identifier.uri | http://hdl.handle.net/10203/226888 | - |
dc.description.abstract | In this paper, we propose an omni-directional pedestrian detection method from color, depth, and laser intensity (RGB-DI) information by fusing two different sensors, catadioptric camera and 3D LiDAR scanner. Our method is based on the use of Regions with Convolutional Neural Network (R-CNN) features, which is known as the state-of-the-art object detection method at this moment. The problem of R-CNN is that it takes long computation times over omni-directional searches. By fusing two sensors, we reduced the number of candidate regions and the whole computation time under half, and achieved better performances in the outdoor environment. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection | - |
dc.type | Conference | - |
dc.identifier.wosid | 000379215900102 | - |
dc.identifier.scopusid | 2-s2.0-84962679245 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 362 | - |
dc.citation.endingpage | 367 | - |
dc.citation.publicationname | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | KINTEX, Goyang city | - |
dc.identifier.doi | 10.1109/URAI.2015.7358901 | - |
dc.contributor.localauthor | Shim, David Hyunchul | - |
dc.contributor.nonIdAuthor | Lee, Seokju | - |
dc.contributor.nonIdAuthor | Huh, Sungsik | - |
dc.contributor.nonIdAuthor | Yoo, Donggeun | - |
dc.contributor.nonIdAuthor | Kweon, In So | - |
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