loading...
Feature Selection for Reliable Tracking using Template Matching
Madison, Wisconsin June 18-June 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.12114342003 IEEE Computer Society Conference ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Toshimitsu Kaneko, Osamu Hori, "Feature Selection for Reliable Tracking using Template Matching," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 796, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003.
 
 
BibTex
x
 
@article{ 10.1109/CVPR.2003.1211434,
author = {Toshimitsu Kaneko and Osamu Hori},
title = {Feature Selection for Reliable Tracking using Template Matching},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2003},
issn = {1063-6919},
pages = {796},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211434},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Feature Selection for Reliable Tracking using Template Matching
SN - 1063-6919
SP
EP
A1 - Toshimitsu Kaneko,
A1 - Osamu Hori,
PY - 2003
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Toshimitsu Kaneko, Toshiba Corporation
Osamu Hori, Toshiba Corporation
A new feature selection method for reliable tracking is presented. In this paper, it is assumed that features are tracked by template matching where small regions around the features are defined as templates. The proposed method selects features based on the upper bound of the average template matching error. This selection criterion is directly related to the reliability of tracking and hence, the performance is better than that of other feature detectors. Experimental results are presented to confirm the efficiency of the proposed method.
Citation:
Toshimitsu Kaneko, Osamu Hori, "Feature Selection for Reliable Tracking using Template Matching," cvpr, vol. 1, pp.796, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003
Usage of this product signifies your acceptance of the Terms of Use.