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Vision based motion estimation method using Ego-Exo cameras
- Uhm, Taeyoung;
- Jun, Ji-In;
- Park, Jong-Il
SCOPUS
0초록
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
- 제목
- Vision based motion estimation method using Ego-Exo cameras
- 저자
- Uhm, Taeyoung; Jun, Ji-In; Park, Jong-Il
- 발행일
- 2013-01
- 유형
- Conference Paper
- 저널명
- Digest of Technical Papers - IEEE International Conference on Consumer Electronics
- 페이지
- 137 ~ 138