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Fourth Canadian Conference on Computer and Robot Vision (CRV '07)
Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
Montreal, Quebec, Canada
May 28-May 30
ISBN: 0-7695-2786-8
ASCII Text
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S. Foucher, L. Gagnon, "Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques," Computer and Robot Vision, Canadian Conference, pp. 113-122, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007.
 
 
BibTex
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@article{ 10.1109/CRV.2007.13,
author = {S. Foucher and L. Gagnon},
title = {Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2007},
isbn = {0-7695-2786-8},
pages = {113-122},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2007.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
SN - 0-7695-2786-8
SP113
EP122
A1 - S. Foucher,
A1 - L. Gagnon,
PY - 2007
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
S. Foucher, R-D Department, CRIM, 550 Sherbrooke West, Suite 100, Montr?al, QC, CANADA
L. Gagnon, R-D Department, CRIM, 550 Sherbrooke West, Suite 100, Montr?al, QC, CANADA
We describe a video indexing system that aims at indexing large video files in relation to the presence of similar faces. The detection of near-frontal view faces is done with a cascade of weak classifier. Face tracking is done through a particle filter and generate trajectories. Face clusters are found based on a spectral clustering approach. We compare the performance of various spectral clustering techniques based on 2DPCA features. The system performance is evaluated against a public face database as well as on a real full-length feature movie.
Citation:
S. Foucher, L. Gagnon, "Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques," crv, pp.113-122, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007
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