Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박종일 | - |
dc.date.accessioned | 2017-04-27T06:04:58Z | - |
dc.date.available | 2017-04-27T06:04:58Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.citation | ETRI JOURNAL, v. 37, NO 4, Page. 766-771 | en_US |
dc.identifier.issn | 1225-6463 | - |
dc.identifier.issn | 2233-7326 | - |
dc.identifier.uri | https://etrij.etri.re.kr/etrij/journal/article/article.do?volume=37&issue=4&page=766 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/27035 | - |
dc.description.abstract | Robust motion estimation for human computer interactions played an important role in a novel method of interaction with electronic devices. Existing pose estimation using a monocular camera employs either ego-motion or exo-motion, both of which are not sufficiently accurate for estimating fine motion due to the motion ambiguity of rotation and translation. This paper presents a hybrid vision-based pose estimation method for fine-motion estimation that is specifically capable of extracting human body motion accurately. The method uses an ego-camera attached to a point of interest and exo-cameras located in the immediate surroundings of the point of interest. The exo-cameras can easily track the exact position of the point of interest by triangulation. Once the position is given, the ego-camera can accurately obtain the point of interest's orientation. In this way, any ambiguity between rotation and translation is eliminated and the exact motion of a target point (that is, ego-camera# can then be obtained. The proposed method is expected to provide a practical solution for robustly estimating fine motion in a non-contact manner, such as in interactive games that are designed for special purposes #for example, remote rehabilitation care systems). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELECTRONICS TELECOMMUNICATIONS RESEARCH INST | en_US |
dc.subject | Image motion analysis | en_US |
dc.subject | pose estimation | en_US |
dc.subject | human-computer interaction | en_US |
dc.subject | fine-motion estimation | en_US |
dc.title | Fine-Motion Estimation Using Ego/Exo-Cameras | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 37 | - |
dc.identifier.doi | 10.4218/etrij.15.0114.0525 | - |
dc.relation.page | 766-771 | - |
dc.relation.journal | ETRI JOURNAL | - |
dc.contributor.googleauthor | Uhm, Taeyoung | - |
dc.contributor.googleauthor | Ryu, Minsoo | - |
dc.contributor.googleauthor | Park, Jong-li | - |
dc.relation.code | 2015001581 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | jipark | - |
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