loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
1st Canadian Conference on Computer and Robot Vision (CRV'04)
Motion and Trajectory Recovery for Tracking Multiple Objects Undergoing a Planar Motion
University of Western Ontario, London, Ontario, Canada
May 17-May 19
ISBN: 0-7695-2127-4
ASCII Text
x 
 
B. Shen, A. Habed, B. Boufama, "Motion and Trajectory Recovery for Tracking Multiple Objects Undergoing a Planar Motion," Computer and Robot Vision, Canadian Conference, pp. 301-305, 1st Canadian Conference on Computer and Robot Vision (CRV'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/CCCRV.2004.1301459,
author = {B. Shen and A. Habed and B. Boufama},
title = {Motion and Trajectory Recovery for Tracking Multiple Objects Undergoing a Planar Motion},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2004},
isbn = {0-7695-2127-4},
pages = {301-305},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCCRV.2004.1301459},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - Motion and Trajectory Recovery for Tracking Multiple Objects Undergoing a Planar Motion
SN - 0-7695-2127-4
SP301
EP305
A1 - B. Shen,
A1 - A. Habed,
A1 - B. Boufama,
PY - 2004
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
B. Shen, University of Windsor
A. Habed, University of Windsor
B. Boufama, University of Windsor
This paper describes a tracking system for multiple moving objects undergoing a planar motion in a scene observed by a still camera. The objects are tracked through a sequence of frames. The direction and velocity of each object are calculated between each pair of frames and are used to predict the position of the object in the next frame. The calibration procedure and the problems due to the presence of noise and shadows in the images are also addressed and the adopted strategies are detailed. Our system has successfully been tested on a fish tracking application and is currently used to study the behavior of the fish in response to changes in environmental conditions.
Citation:
B. Shen, A. Habed, B. Boufama, "Motion and Trajectory Recovery for Tracking Multiple Objects Undergoing a Planar Motion," crv, pp.301-305, 1st Canadian Conference on Computer and Robot Vision (CRV'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.