Fine-Motion Estimation Using Ego/Exo-Cameras
- Authors
- Uhm, Taeyoung; Ryu, Minsoo; Park, Jong-Ii
- Issue Date
- Aug-2015
- Publisher
- ELECTRONICS TELECOMMUNICATIONS RESEARCH INST
- Keywords
- Image motion analysis; pose estimation; human-computer interaction; fine-motion estimation
- Citation
- ETRI JOURNAL, v.37, no.4, pp.766 - 771
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- ETRI JOURNAL
- Volume
- 37
- Number
- 4
- Start Page
- 766
- End Page
- 771
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156661
- DOI
- 10.4218/etrij.15.0114.0525
- ISSN
- 1225-6463
- 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).
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156661)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.