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Tracking multiple objects using intensity-GVF snakes

Jonas De Vylder UGent, Daniel Ochoa Donoso UGent, Wilfried Philips UGent, Laury Chaerle UGent and Dominique Van Der Straeten UGent (2009) European Signal Processing Conference, 17th, Proceedings.
abstract
Active contours or snakes are widely used for segmentation and tracking. Multiple object tracking remains a difficult task, characterised by a trade off between increasing the capturing range of edges of the object of interest, and decreasing the capturing range of other edges. We propose a new external force field which is calculated for every object independently. This new force field uses prior knowledge about the intensity of the object of interest. Using this extra information, this new force field helps in discriminating between edges of interest and other objects. For this new force field, the expected intensity of an object must be estimated. We propose a technique which calculates this estimation out of the image.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
European Signal Processing Conference, 17th, Proceedings
pages
5 pages
conference name
17th European Signal Processing Conference (EUSIPCO 2009)
conference location
Glasgow, Scotland
conference start
2009-08-24
conference end
2009-08-28
ISSN
2219-5491
language
English
UGent publication?
yes
classification
C1
copyright statement
I have retained and own the full copyright for this publication
id
605802
handle
http://hdl.handle.net/1854/LU-605802
date created
2009-05-04 10:44:33
date last changed
2015-07-06 15:09:59
@inproceedings{605802,
  abstract     = {Active contours or snakes are widely used for segmentation and tracking. Multiple object tracking remains a difficult task, characterised by a trade off between increasing the capturing range of edges of the object of interest, and decreasing the capturing range of other edges. We propose a new external force field which is calculated for every object independently. This new force field uses prior knowledge about the intensity of the object of interest. Using this extra information, this new force field helps in discriminating between edges of interest and other objects. For this new force field, the expected intensity of an object must be estimated. We propose a technique which calculates this estimation out of the image.},
  author       = {De Vylder, Jonas and Ochoa Donoso, Daniel and Philips, Wilfried and Chaerle, Laury and Van Der Straeten, Dominique},
  booktitle    = {European Signal Processing Conference, 17th, Proceedings},
  issn         = {2219-5491},
  language     = {eng},
  location     = {Glasgow, Scotland},
  pages        = {5},
  title        = {Tracking multiple objects using intensity-GVF snakes},
  year         = {2009},
}

Chicago
De Vylder, Jonas, Daniel Ochoa Donoso, Wilfried Philips, Laury Chaerle, and Dominique Van Der Straeten. 2009. “Tracking Multiple Objects Using intensity-GVF Snakes.” In European Signal Processing Conference, 17th, Proceedings.
APA
De Vylder, Jonas, Ochoa Donoso, D., Philips, W., Chaerle, L., & Van Der Straeten, D. (2009). Tracking multiple objects using intensity-GVF snakes. European Signal Processing Conference, 17th, Proceedings. Presented at the 17th European Signal Processing Conference (EUSIPCO 2009).
Vancouver
1.
De Vylder J, Ochoa Donoso D, Philips W, Chaerle L, Van Der Straeten D. Tracking multiple objects using intensity-GVF snakes. European Signal Processing Conference, 17th, Proceedings. 2009.
MLA
De Vylder, Jonas, Daniel Ochoa Donoso, Wilfried Philips, et al. “Tracking Multiple Objects Using intensity-GVF Snakes.” European Signal Processing Conference, 17th, Proceedings. 2009. Print.