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First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02)
A Model (In)Validation Approach to Gait Recognition
Padova, Italy
June 19-June 21
ISBN: 0-7695-1521-5
ASCII Text
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Cecilia Mazzaro, Mario Sznaier, Octavia Camps, Stefano Soatto, Alessandro Bissacco, "A Model (In)Validation Approach to Gait Recognition," 3D Data Processing Visualization and Transmission, International Symposium on, pp. 700, First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02), 2002.
 
 
BibTex
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@article{ 10.1109/TDPVT.2002.1024144,
author = {Cecilia Mazzaro and Mario Sznaier and Octavia Camps and Stefano Soatto and Alessandro Bissacco},
title = {A Model (In)Validation Approach to Gait Recognition},
journal ={3D Data Processing Visualization and Transmission, International Symposium on},
volume = {0},
year = {2002},
isbn = {0-7695-1521-5},
pages = {700},
doi = {http://doi.ieeecomputersociety.org/10.1109/TDPVT.2002.1024144},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 3D Data Processing Visualization and Transmission, International Symposium on
TI - A Model (In)Validation Approach to Gait Recognition
SN - 0-7695-1521-5
SP
EP
A1 - Cecilia Mazzaro,
A1 - Mario Sznaier,
A1 - Octavia Camps,
A1 - Stefano Soatto,
A1 - Alessandro Bissacco,
PY - 2002
KW - null
VL - 0
JA - 3D Data Processing Visualization and Transmission, International Symposium on
ER -
 
Cecilia Mazzaro, Pennsylvania State University
Mario Sznaier, Pennsylvania State University
Octavia Camps, Pennsylvania State University
Stefano Soatto, University of California at Los Angeles
Alessandro Bissacco, University of California at Los Angeles
This paper addresses the problem of human gait recognition by applying model (in)validation techniques.The main idea is to associate to each class of gaits a nominal model and a class of bounded energy inputs. In this context, the problem of recognizing a sequence can be formulated as the problem of determining whether or not it could have been generated by a given model and its associated class of inputs. By exploiting interpolation theory results this problem can be recast into a Linear Matrix Inequality (LMI) optimization form and efficiently solved.
Citation:
Cecilia Mazzaro, Mario Sznaier, Octavia Camps, Stefano Soatto, Alessandro Bissacco, "A Model (In)Validation Approach to Gait Recognition," 3dpvt, pp.700, First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02), 2002
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