Vision based motion estimation method using Ego-Exo cameras

Citations

SCOPUS

0

초록

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.

키워드

Digital informationMonocular camerasNatural interactionsPose estimationPractical solutionsSerious gamesVision basedWrist motionsCamerasConsumer electronicsDisplay devicesOptical data processingOptoelectronic devicesMotion estimation
제목
Vision based motion estimation method using Ego-Exo cameras
저자
Uhm, TaeyoungJun, Ji-InPark, Jong-Il
DOI
10.1109/ICCE.2013.6486829
발행일
2013-01
유형
Conference Paper
저널명
Digest of Technical Papers - IEEE International Conference on Consumer Electronics
페이지
137 ~ 138