DC Field | Value | Language |
---|---|---|
dc.contributor.author | 안병태 | ko |
dc.contributor.author | 최동걸 | ko |
dc.contributor.author | 권인소 | ko |
dc.date.accessioned | 2017-09-25T05:11:47Z | - |
dc.date.available | 2017-09-25T05:11:47Z | - |
dc.date.created | 2017-09-08 | - |
dc.date.created | 2017-09-08 | - |
dc.date.issued | 2017-09 | - |
dc.identifier.citation | 로봇학회 논문지, v.12, no.3, pp.313 - 321 | - |
dc.identifier.issn | 1975-6291 | - |
dc.identifier.uri | http://hdl.handle.net/10203/225989 | - |
dc.description.abstract | One of the most frequently performed tasks in human-robot interaction (HRI), intelligent vehicles, and security systems is face related applications such as face recognition, facial expression recognition, driver state monitoring, and gaze estimation. In these applications, accurate head pose estimation is an important issue. However, conventional methods have been lacking in accuracy, robustness or processing speed in practical use. In this paper, we propose a novel method for estimating head pose with a monocular camera. The proposed algorithm is based on a deep neural network for multi-task learning using a small grayscale image. This network jointly detects multi-view faces and estimates head pose in hard environmental conditions such as illumination change and large pose change. The proposed framework quantitatively and qualitatively outperforms the state-of-the-art method with an average head pose mean error of less than 4.5° in real-time. | - |
dc.language | Korean | - |
dc.publisher | 한국로봇학회 | - |
dc.subject | Head Pose | - |
dc.subject | Deep Learning | - |
dc.subject | Convolutional Neural Network | - |
dc.title | 다중크기와 다중객체의 실시간 얼굴 검출과머리 자세 추정을 위한 심층 신경망 | - |
dc.title.alternative | Multi-Scale, Multi-Object and Real-Time Face Detection and Head Pose Estimation Using Deep Neural Networks | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 12 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 313 | - |
dc.citation.endingpage | 321 | - |
dc.citation.publicationname | 로봇학회 논문지 | - |
dc.identifier.doi | 10.7746/jkros.2017.12.3.313 | - |
dc.identifier.kciid | ART002253678 | - |
dc.contributor.localauthor | 권인소 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | Head Pose | - |
dc.subject.keywordAuthor | Deep Learning | - |
dc.subject.keywordAuthor | Convolutional Neural Network | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.