A general approach for determining 3D motion and structure of multiple objects from image trajectories

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 b...

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Bibliographic Details
Main Authors: Tian, T.Y., Shah, M.
Format: Conference Proceeding
Language:English
Subjects:
Clustering algorithms
Computer science
Computer vision
Ear
Filling
Image segmentation
Image sequences
Kinematics
Layout
Motion analysis
Online Access:Request full text
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Summary: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.< >
DOI:10.1109/MNRAO.1994.346247