Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2023-08-21T06:44:58Z | - |
dc.date.available | 2023-08-21T06:44:58Z | - |
dc.date.issued | 2019-08 | - |
dc.identifier.citation | ACM International Conference Proceeding Series, Page. 15-19 | - |
dc.identifier.uri | https://dl.acm.org/doi/10.1145/3378891.3378901 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/185531 | - |
dc.description.abstract | Human pose estimation is a topic of interest in the field of computer vision. Once we precisely predict where the human body is, we can further use that information to perform high-level actions such as action recognition or behavior prediction. In this paper, we focus on finding keypoints of human along with body part segmentations that surround keypoints. After roughly finding body part segmentations, we hope to refine accurate keypoint from it. We used Stacked Hourglass model, which is often used in pose estimation problems, as the backbone and further attached model to predict body part segmentation. We also tested several networks to reduce unwanted side effect that occurs when using keypoints and body part segmentation together. © 2019 Association for Computing Machinery. | - |
dc.description.sponsorship | This research was supported by the MISP (Ministry of Science, ICT & Future Planning), Korea, under the National Program for Excellence in SW) (2018-0-00192) supervised by the IITP (Institute of Information & communications Technology Planning & Evaluation)"(2018-0-00192) | - |
dc.language | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.subject | Body part segmentation | - |
dc.subject | Human pose estimation | - |
dc.subject | Keypoints | - |
dc.title | Serialized keypoint estimation using body part segmentation | - |
dc.type | Article | - |
dc.identifier.doi | 10.1145/3378891.3378901 | - |
dc.relation.page | 15-19 | - |
dc.relation.journal | ACM International Conference Proceeding Series | - |
dc.contributor.googleauthor | Lee, Ho gyeong | - |
dc.contributor.googleauthor | Cho, Yong chae | - |
dc.contributor.googleauthor | Han, Jeong hoon | - |
dc.contributor.googleauthor | Jeong, Woo jin | - |
dc.contributor.googleauthor | Park, Ye jin | - |
dc.contributor.googleauthor | Moon, Young shik | - |
dc.sector.campus | E | - |
dc.sector.daehak | 소프트웨어융합대학 | - |
dc.sector.department | 소프트웨어학부 | - |
dc.identifier.pid | ysmoon | - |
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