DocumentCode :
1221398
Title :
Multiple motion scene reconstruction with uncalibrated cameras
Author :
Han, Mei ; Kanade, Takeo
Author_Institution :
NEC Labs. America, Cupertino, CA, USA
Volume :
25
Issue :
7
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
884
Lastpage :
894
Abstract :
In this paper, we describe a reconstruction method for multiple motion scenes, which are 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. We focus on the case where the cameras have unknown and varying focal lengths while the other intrinsic parameters are known. 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 :
calibration; computer vision; image motion analysis; image reconstruction; optimisation; bilinear factorization algorithm; camera calibration; camera intrinsic parameters; camera motion; computer vision; dynamic scene reconstruction; motion segmentation; multiple motion scene reconstruction; multiple moving objects; scene structure; structure from motion; uncalibrated cameras; uncalibrated views; unified geometrical representation; Cameras; Computer vision; Image reconstruction; Layout; Motion detection; Motion segmentation; Object detection; Reconstruction algorithms; Robot vision systems; Shape;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2003.1206517
Filename :
1206517
Link To Document :
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