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Person Identification Using Multiple Cues
October 1995 (vol. 17 no. 10)
pp. 955-966
ASCII Text
x 
 
Roberto Brunelli, Daniele Falavigna, "Person Identification Using Multiple Cues," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 10, pp. 955-966, October, 1995.
 
 
BibTex
x
 
@article{ 10.1109/34.464560,
author = {Roberto Brunelli and Daniele Falavigna},
title = {Person Identification Using Multiple Cues},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {17},
number = {10},
issn = {0162-8828},
year = {1995},
pages = {955-966},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.464560},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Person Identification Using Multiple Cues
IS - 10
SN - 0162-8828
SP955
EP966
EPD - 955-966
A1 - Roberto Brunelli,
A1 - Daniele Falavigna,
PY - 1995
KW - Template matching
KW - robust statistics
KW - correlation
KW - face recognition
KW - speaker recognition
KW - learning
KW - classification.
VL - 17
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

Abstract—This paper presents a person identification system based on acoustic and visual features. The system is organized as a set of non-homogeneous classifiers whose outputs are integrated after a normalization step. In particular, two classifiers based on acoustic features and three based on visual ones provide data for an integration module whose performance is evaluated. A novel technique for the integration of multiple classifiers at an hybrid rank/measurement level is introduced using HyperBF networks. Two different methods for the rejection of an unknown person are introduced. The performance of the integrated system is shown to be superior to that of the acoustic and visual subsystems. The resulting identification system can be used to log personal access and, with minor modifications, as an identity verification system.

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Index Terms:
Template matching, robust statistics, correlation, face recognition, speaker recognition, learning, classification.
Citation:
Roberto Brunelli, Daniele Falavigna, "Person Identification Using Multiple Cues," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 10, pp. 955-966, Oct. 1995, doi:10.1109/34.464560
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