loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
1995 International Conference on Image Processing (ICIP'95) - Volume 3
Optical flow: a curve evolution approach
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
ASCII Text
x 
 
A. Kumar, A. Tannenbaum, G. Balas, "Optical flow: a curve evolution approach," Image Processing, International Conference on, vol. 3, pp. 3017, 1995 International Conference on Image Processing (ICIP'95) - Volume 3, 1995.
 
 
BibTex
x
 
@article{ 10.1109/ICIP.1995.537569,
author = {A. Kumar and A. Tannenbaum and G. Balas},
title = {Optical flow: a curve evolution approach},
journal ={Image Processing, International Conference on},
volume = {3},
year = {1995},
isbn = {0-8186-7310-9},
pages = {3017},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537569},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Processing, International Conference on
TI - Optical flow: a curve evolution approach
SN - 0-8186-7310-9
SP
EP
A1 - A. Kumar,
A1 - A. Tannenbaum,
A1 - G. Balas,
PY - 1995
KW - image sequences; numerical analysis; minimisation; curve evolution; optical flow; minimization; flow velocity; edge information; numerical approach; evolving curves; optical flow field; experiments
VL - 3
JA - Image Processing, International Conference on
ER -
 
A. Kumar, Dept. of Aerosp. & Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
A. Tannenbaum, Dept. of Aerosp. & Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
G. Balas, Dept. of Aerosp. & Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
A novel approach for the computation of optical flow based on an L/sup 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 and results of experiments are presented.
Index Terms:
image sequences; numerical analysis; minimisation; curve evolution; optical flow; minimization; flow velocity; edge information; numerical approach; evolving curves; optical flow field; experiments
Citation:
A. Kumar, A. Tannenbaum, G. Balas, "Optical flow: a curve evolution approach," icip, vol. 3, pp.3017, 1995 International Conference on Image Processing (ICIP'95) - Volume 3, 1995
Usage of this product signifies your acceptance of the Terms of Use.