정밀하지 않은 깊이정보와 2D움직임 정보를 이용한 사용자 검출과 주요 신체부위 추정

Abstract

‘$%&’'()$*+,-. //01234. 56789:; $%&?@ABCDE$FG2H'IJK=LM*NOPQRH4. S LMK7T / / U [`abc(KdR, 3D 1D eBaf>&ghABij].K-kl, mT  >noZ RfpabKdIJ)$q4. r IJK7WXYK7'2D s t 3D u -)vk>w 'IJ)$q4. jxy$qzT IJ 2D {) 'IJK|}[`ab~cfpKdR, * Z p<KZ T )2P€ 4. r$qz I J 2D s t { Gp<‚ ƒK=„* R, †_ 'IJ [`:fpK‡ˆ3‰)Š~h)ZG2H4.Abstract'Gesture' is the most intuitive means of communication except the voice. Therefore, there are many researches for method that controls computer using gesture input to replace the keyboard or mouse. In these researches, the method of user detection and main body parts estimation is one of the very important process. in this paper, we propose user objects detection and main body parts estimation method on inaccurate depth information for pose estimation. we present user detection method using 2D and 3D depth information, so this method robust to changes in lighting and noise and 2D signal processing 1D signals, so mainly suitable for real-time and using the previous object information, so more accurate and robust. Also, we present main body parts estimation method using 2D contour information, 3D depth information, and tracking. The result of an experiment, proposed user detection method is more robust than only using 2D information method and exactly detect object on inaccurate depth information. Also, proposed main body parts estimation method overcome the disadvantage that can`t detect main body parts in occlusion area only using 2D contour information and sensitive to changes in illumination or environment using color information.Keyword : Depth Information, Object Detection, Body Parts Estimation‹ XY(Regular Paper)IŒŽXY $17$4e, 2012‘7’(JBE Vol. 17, No. 4, July 2012)http://dx.doi.org/10.5909/JBE.2012.17.4.611