Title :
Robust estimation of multi-component motion in image sequences using the epipolar constraint
Author :
Steinbach, Eckehard ; Chaudhuri, Subhasis ; Girod, Bernd
Author_Institution :
Telecommun. Inst., Erlangen-Nurnberg Univ., Germany
Abstract :
Given two frames of a dynamic scene with several rigid body objects undergoing different motions in the three-dimensional space, we robustly estimate the motion and structure of each object. The least median of squares (LMedS) estimator is integrated into a robust 3D motion parameter estimation and scene structure recovery framework to deal with the multi-motion problem. Experimental results underline the capability of the approach to deal successfully with multi-component motion. We apply the approach presented in this paper to the problem of automatic insertion of artificial objects in real image sequences
Keywords :
constraint theory; image sequences; least mean squares methods; motion estimation; parameter estimation; 3D motion parameter estimation; LMedS estimator; artificial objects; automatic insertion; dynamic scene; epipolar constraint; image sequences; least median of squares estimator; multi-component motion estimation; multi-motion problem; real images; rigid body objects; robust estimation; scene structure recovery framework; three-dimensional space; Cameras; Computer vision; Image communication; Image sequences; Layout; Motion analysis; Motion estimation; Parameter estimation; Robustness; Space technology;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595343