Title :
A general approach for determining 3D motion and structure of multiple objects from image trajectories
Author :
Tian, Tina Yu ; Shah, Mubarak
Author_Institution :
Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
Abstract :
Presents a general approach to determine the 3D motion and structure of multiple objects undergoing arbitrary motions. We segment the scene based on 3D motion parameters. First, the general motion model is fitted to each single trajectory. For this nonlinear fitting, initial estimates are obtained by a linear multiple-motion SFM (structure from motion) algorithm using the first two frames. Next, trajectories are clustered into groups corresponding to different moving objects. In our approach, discontinuous trajectories, resulting from occlusion, are also allowed. Finally, multiple trajectory fitting is applied to each trajectory group to improve the estimates further. Our simulation results show that the proposed method is robust
Keywords :
image segmentation; image sequences; motion estimation; 3D motion determination; 3D structure determination; discontinuous trajectories; image frames; image trajectories; linear multiple-motion SFM algorithm; moving objects; multiple objects; multiple trajectory fitting; nonlinear fitting; occlusion; robust method; scene segmentation; structure from motion; trajectory clustering; Clustering algorithms; Computer science; Computer vision; Ear; Filling; Image segmentation; Image sequences; Kinematics; Layout; Motion analysis;
Conference_Titel :
Motion of Non-Rigid and Articulated Objects, 1994., Proceedings of the 1994 IEEE Workshop on
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6435-5
DOI :
10.1109/MNRAO.1994.346247