NDLI: Camera motion estimation for 3-D structure reconstruction of moving objects

Content Provider	IEEE Xplore Digital Library
Author	Dongkyoung Chwa Dani, A. Hakjae Kim Dixon, W.
Copyright Year	2012
Description	Author affiliation: National Geospatial Intelligence Agency, Korea (Hakjae Kim) \|\| Department of Electrical and Computer Engineering, Ajou University, Suwon 443-749, Korea (Dongkyoung Chwa) \|\| Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, USA (Dani, A.; Dixon, W.)
Abstract	The method for camera motion estimation is proposed for the moving objects. Whereas the estimation of the structure and motion (SaM) of the moving objects usually involves the constraints on the motion of the camera and the object, the moving camera velocities can be estimated in our work using the images of the moving object from the single camera without any constraint on the camera and object motion. To this end, the dynamics of the partially measurable state are arranged in such a way that the recursive least-squares (RLS) algorithm can be employed for stationary objects and then the nonlinear observer based on RISE (robust integral signed error) method for dynamic objects sequentially. The proposed method has advantages in that when the proposed method and the previously developed SaM algorithms are combined together, we can reconstruct the 3-D structure of the moving objects from 2-D images from a single camera. Simulation results under time-varying velocities of both camera and object are presented to verify the proposed method.
Starting Page	1788
Ending Page	1793
File Size	362917
Page Count	6
File Format	PDF
ISBN	9781467317139
e-ISBN	9781467317146
e-ISBN	9781467317122
DOI	10.1109/ICSMC.2012.6377997
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Heuristic algorithms Observers Vectors Dynamics Simulation nonlinear observer based on RISE method Camera motion estimation moving objects moving camera RLS algorithm
Content Type	Text
Resource Type	Article

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