This paper is concerned with the estimation of trajectories for accelerated motion from image sequences. Unlike in many other approaches, that assume linear trajectories, we propose a quadratic model that incorporates both velocity and acceleration. This model corresponds better to practical applications especially when the estimation is performed over several images, e.g., in motion-compensated processing with extended temporal support. This is due to the fact that over longer time frame and in the presence of acceleration, quadratic trajectory is capable of providing a better intensity match than a simple displacement. The algorithm for the estimation of dense accelerated motion fields is formulated in this paper using regularization and the solution is based on deterministic relaxation implemented over a pyramid of resolutions. Extensive experimental results for test images with synthetic motion are presented.<>
Estimation of trajectories for accelerated motion from time-varying imagery
Proceedings of 1st International Conference on Image Processing ; 2 ; 800-804 vol.2
1994-01-01
409000 byte
Conference paper
Electronic Resource
English
Estimation of Trajectories for Accelerated Motion from Time-Varying Imagery
British Library Conference Proceedings | 1994
|IMPROVING TRACKING TRAJECTORIES WITH MOTION ESTIMATION
British Library Conference Proceedings | 2006
|Optimal Radially Accelerated Interplanetary Trajectories
AIAA | 2006
|Optimal Radially Accelerated Interplanetary Trajectories
Online Contents | 2006
|