DocumentCode :
1748610
Title :
Multiple motion scene reconstruction from uncalibrated views
Author :
Han, Mei ; Kanade, Takeo
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
163
Abstract :
We describe a reconstruction method of multiple motion scenes, which are the scenes containing multiple moving objects, from uncalibrated views. Assuming that the objects are moving with constant velocities, the method recovers the scene structure, the trajectories of the moving objects, the camera motion and the camera intrinsic parameters (except skews) simultaneously. The number of the moving objects is automatically detected without prior motion segmentation. The method is based on a unified geometrical representation of the static scene and the moving objects. It first performs a projective reconstruction using a bilinear factorization algorithm, and then converts the projective solution to a Euclidean one by enforcing metric constraints. Experimental results on synthetic and real images are presented
Keywords :
image reconstruction; image sequences; motion estimation; bilinear factorization; camera motion; multiple motion scenes; projective reconstruction; reconstruction method; scene reconstruction; uncalibrated views; Cameras; Image reconstruction; Image sequences; Layout; Motion detection; Motion segmentation; Object detection; Reconstruction algorithms; Robot vision systems; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
Type :
conf
DOI :
10.1109/ICCV.2001.937513
Filename :
937513
Link To Document :
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