Title :
A closed-form solution for optical flow by imposing temporal constraints
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
fDate :
6/23/1905 12:00:00 AM
Abstract :
We present a well-constrained formulation for estimation of optical flow in a video sequence, which yields a closed-form solution. Unlike other existing closed-form approaches, our solution does not require second order spatial derivatives. It relies only on first order and cross-space-time derivatives which can be computed more reliably. Instead of the commonly used spatial smoothness constraint, we propose a temporal smoothness constraint which has a clear physical interpretation. Our formulation also allows for accurate analysis of sources of error and ill-conditioning, leading to a more tractable implementation and mathematically justifiable thresholding values
Keywords :
differential equations; error analysis; image sequences; motion estimation; video signal processing; closed-form solution; cross-space-time derivatives; first order spatial derivatives; motion estimation; optical flow estimation; temporal constraints; temporal smoothness constraint; video sequence; Brightness; Closed-form solution; Computer science; Computer vision; Equations; Image motion analysis; Image sequences; Least squares methods; Optical noise; Optical sensors;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958204