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Vision Based Motion Estimation Method Using Ego-Exo Cameras

Title
Vision Based Motion Estimation Method Using Ego-Exo Cameras
Author
박종일
Keywords
Estimation; Cameras; Motion estimation; Robustness; Consumer electronics; Human computer interaction; Games
Issue Date
2013-01
Publisher
IEEE
Citation
2013 IEEE International Conference on Consumer Electronics (ICCE) Consumer Electronics (ICCE), 2013 IEEE International Conference on, p.137-138 Jan, 2013
Abstract
Recently, vision based robust pose estimation method for human computer interaction has been developed by many researchers. It plays an important role in the development of interaction in consumer electronics. Existing pose estimation using monocular camera employed either ego-motion or exo-motion which are not acceptable for fine motion (e.g. a breath, wrist motion, and etc.). In this paper, we propose a hybrid vision method for fine motion estimation. For this method, we integrated ego-camera and exo-camera coordinates. We expect that the proposed method can provide a practical solution for robust natural interaction with digital information display systems and interactive serious game or remote rehabilitation care systems.
URI
https://ieeexplore.ieee.org/abstract/document/6486829/http://repository.hanyang.ac.kr/handle/20.500.11754/69587
ISSN
2158-3994
DOI
10.1109/ICCE.2013.6486829
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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