By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Dongkyoung Chwa ; Dept. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea ; Dani, A. ; Hakjae Kim ; Dixon, W.

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.

Published in:

Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on

Date of Conference:

14-17 Oct. 2012