Title :
Optical flow: a curve evolution approach
Author :
Kumar, Arun ; Tannenbaum, Allen R. ; Balas, Gary J.
Author_Institution :
Dept. of Aerosp. Eng., Minnesota Univ., Minneapolis, MN, USA
fDate :
4/1/1996 12:00:00 AM
Abstract :
A novel approach for the computation of optical flow based on an L 1 type minimization is presented. It is shown that the approach has inherent advantages since it does not smooth the flow-velocity across the edges and hence preserves edge information. A numerical approach based on computation of evolving curves is proposed for computing the optical flow field. Computations are carried out on a number of real image sequences in order to illustrate the theory as well as the numerical approach
Keywords :
image sequences; minimisation; L1 type minimization; curve evolution approach; edge information; flow-velocity; gradient based approaches; numerical approach; optical flow computation; real image sequences; Brightness; Cameras; Computer vision; Helium; Image motion analysis; Image sequences; Layout; Optical computing; Optical sensors; Target tracking;
Journal_Title :
Image Processing, IEEE Transactions on
