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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Adaptive Step Size Window Matching for Detection
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Nathan Mekuz, Konstantinos G. Derpanis, John K. Tsotsos, "Adaptive Step Size Window Matching for Detection," Pattern Recognition, International Conference on, vol. 2, pp. 259-262, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.224,
author = {Nathan Mekuz and Konstantinos G. Derpanis and John K. Tsotsos},
title = {Adaptive Step Size Window Matching for Detection},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {259-262},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.224},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Adaptive Step Size Window Matching for Detection
SN - 1051-4651
SP259
EP262
A1 - Nathan Mekuz,
A1 - Konstantinos G. Derpanis,
A1 - John K. Tsotsos,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Nathan Mekuz, York University, Toronto, ON, Canada
Konstantinos G. Derpanis, York University, Toronto, ON, Canada
John K. Tsotsos, York University, Toronto, ON, Canada
An often overlooked problem in matching lies in selecting an appropriate step size. The selection of the step size for real-time applications is critical both from the point of view of computational efficiency and detection performance. Current systems set the step size in an ad hoc manner. This paper describes an algorithm for selecting the step size based on a theoretical worst case analysis. We have implemented this adaptive step size method in an object detection algorithm. Experimental evaluation demonstrates the effectiveness of our proposed algorithm.
Citation:
Nathan Mekuz, Konstantinos G. Derpanis, John K. Tsotsos, "Adaptive Step Size Window Matching for Detection," icpr, vol. 2, pp.259-262, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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