DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Dong-Guw | ko |
dc.contributor.author | Song, Kyuseob | ko |
dc.contributor.author | Nho, Young-Hoon | ko |
dc.contributor.author | Kim, Ayoung | ko |
dc.contributor.author | Kwon, Dong-Soo | ko |
dc.date.accessioned | 2023-09-01T05:04:06Z | - |
dc.date.available | 2023-09-01T05:04:06Z | - |
dc.date.created | 2023-02-09 | - |
dc.date.issued | 2022-10 | - |
dc.identifier.citation | IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, pp.13120 - 13127 | - |
dc.identifier.issn | 2153-0858 | - |
dc.identifier.uri | http://hdl.handle.net/10203/312107 | - |
dc.description.abstract | The awareness for preserving privacy in in-home monitoring robots is increasing. Although several studies have proposed privacy-preserved in-home monitoring robot systems for adults, only a limited amount of attention has been paid attention to research on privacy-preserved in-home monitoring of babies. Like previous studies, thermal infrared image-based methods could ensure a privacy-preserved monitoring of babies, yet when existing detection methods were applied to thermal images to detect babies and adults, we discovered a frequent occurrence of misdetection due to the presence of thermal residual heat marks. In this research, we propose a sequential thermal image-based detection that conjugated the characteristics of thermal residual heat marks. The proposed detection reduced misdetection caused by thermal residual heat marks by 98.7% when compared to RetinaNet. In addition, we open-source our collected thermal image-based baby and adult dataset via: https://github.com/donkeymouse/ThermalAdultandBaby. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Sequential thermal image-based adult and baby detection robust to thermal residual heat marks | - |
dc.type | Conference | - |
dc.identifier.wosid | 000909405304042 | - |
dc.identifier.scopusid | 2-s2.0-85146313603 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 13120 | - |
dc.citation.endingpage | 13127 | - |
dc.citation.publicationname | IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 | - |
dc.identifier.conferencecountry | JA | - |
dc.identifier.conferencelocation | Kyoto | - |
dc.identifier.doi | 10.1109/IROS47612.2022.9982115 | - |
dc.contributor.localauthor | Kwon, Dong-Soo | - |
dc.contributor.nonIdAuthor | Lee, Dong-Guw | - |
dc.contributor.nonIdAuthor | Nho, Young-Hoon | - |
dc.contributor.nonIdAuthor | Kim, Ayoung | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.