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Fine-Motion Estimation Using Ego/Exo-Cameras

Title
Fine-Motion Estimation Using Ego/Exo-Cameras
Author
유민수
Keywords
Image motion analysis; pose estimation; human-computer interaction; fine-motion estimation
Issue Date
2015-08
Publisher
ELECTRONICS TELECOMMUNICATIONS RESEARCH INST
Citation
ETRI JOURNAL, v. 37, NO 4, Page. 766-771
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).
URI
https://etrij.etri.re.kr/etrij/journal/article/article.do?volume=37&issue=4&page=766http://hdl.handle.net/20.500.11754/27113
ISSN
1225-6463; 2233-7326
DOI
10.4218/etrij.15.0114.0525
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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