By Topic

A trajectory-based computational model for optical flow estimation

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

2 Author(s)
Chaudhury, K. ; Dept. of Comput. Sci., Kentucky Univ., Lexington, KY, USA ; Mehrotra, R.

A new computational model for optical flow estimation is proposed. The proposed model utilizes trajectory information present in a multiframe spatio-temporal volume. Optical flow estimation is formulated as an optimization problem. The solution to this optimization problem yields a velocity field corresponding to smoothest and shortest trajectories of constant intensity points within the spatio-temporal volume. The approach is motivated by principles of inertia of motion and least action in physics and vision psychology. An analogy between a trajectory and a “thin wire” is discussed. A simple mechanism for handling trajectory discontinuities is also incorporated. The optimization problem is solved by stochastic relaxation techniques. Some experimental results and performance comparisons with two existing optical flow estimation techniques are presented to demonstrate the effectiveness of the proposed approach

Published in:

Robotics and Automation, IEEE Transactions on  (Volume:11 ,  Issue: 5 )