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2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8
An Efficient and Robust Human Classification Algorithm using Finite Frequencies Probing
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
ASCII Text
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Yang Ran, Isaac Weiss, Qinfen Zheng, Larry S. Davis, "An Efficient and Robust Human Classification Algorithm using Finite Frequencies Probing," Computer Vision and Pattern Recognition Workshop, vol. 8, pp. 132, 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8, 2004.
 
 
BibTex
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@article{ 10.1109/CVPR.2004.299,
author = {Yang Ran and Isaac Weiss and Qinfen Zheng and Larry S. Davis},
title = {An Efficient and Robust Human Classification Algorithm using Finite Frequencies Probing},
journal ={Computer Vision and Pattern Recognition Workshop},
volume = {8},
year = {2004},
issn = {1063-6919},
pages = {132},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.299},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition Workshop
TI - An Efficient and Robust Human Classification Algorithm using Finite Frequencies Probing
SN - 1063-6919
SP
EP
A1 - Yang Ran,
A1 - Isaac Weiss,
A1 - Qinfen Zheng,
A1 - Larry S. Davis,
PY - 2004
KW - null
VL - 8
JA - Computer Vision and Pattern Recognition Workshop
ER -
 
Yang Ran, University of Maryland, College Park
Isaac Weiss, University of Maryland, College Park
Qinfen Zheng, University of Maryland, College Park
Larry S. Davis, University of Maryland, College Park
This paper describes a periodicity motion detection based object classification algorithm for infrared videos. Given a detected and tracked object, the goal is to analyze the periodic signature of its motion pattern. We propose an efficient and robust solution, which is related to the frequency estimation in speech recognition. Periodic reference functions are correlated with the video signal. Experimental results for both infrared and visible videos acquired by ground-based as well as airborne moving sensors are presented.
Citation:
Yang Ran, Isaac Weiss, Qinfen Zheng, Larry S. Davis, "An Efficient and Robust Human Classification Algorithm using Finite Frequencies Probing," cvprw, vol. 8, pp.132, 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8, 2004
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