DocumentCode :
327773
Title :
A novel algorithm for recovering the 3D motions of multiple moving rigid objects
Author :
Liu, M.L. ; Wong, K.H.
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume :
1
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
655
Abstract :
A number of algorithms have been developed to determine the motion of rigid objects. Most of these algorithms work on single or multiple objects with single motion. However, in the real world, multiple motions are common place. In this paper, a novel algorithm for recovering the 3D motions of multiple moving rigid objects is derived. This new approach is able to determine the total number of motions in the system and to perform 3D motion-based segmentation by using incremental clustering. Then the motion of each independent rigid object can be recovered
Keywords :
image recognition; image segmentation; motion estimation; 3D motion recovery; 3D motion-based segmentation; incremental clustering; multiple moving rigid objects; Clustering algorithms; Clustering methods; Computer science; Iterative methods; Kinematics; Machine vision; Maximum likelihood estimation; Motion estimation; Object segmentation; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711229
Filename :
711229
Link To Document :
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