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