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2007
IEEE

Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques

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Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
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.
Samuel Foucher, Langis Gagnon
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CRV
Authors Samuel Foucher, Langis Gagnon
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