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Proceedings Paper

A system for tracking and recognizing pedestrian faces using a network of loosely coupled cameras
Author(s): L. Gagnon; F. Laliberté; S. Foucher; A. Branzan Albu; D. Laurendeau
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Paper Abstract

A face recognition module has been developed for an intelligent multi-camera video surveillance system. The module can recognize a pedestrian face in terms of six basic emotions and the neutral state. Face and facial features detection (eyes, nasal root, nose and mouth) are first performed using cascades of boosted classifiers. These features are used to normalize the pose and dimension of the face image. Gabor filters are then sampled on a regular grid covering the face image to build a facial feature vector that feeds a nearest neighbor classifier with a cosine distance similarity measure for facial expression interpretation and face model construction. A graphical user interface allows the user to adjust the module parameters.

Paper Details

Date Published: 12 May 2006
PDF: 9 pages
Proc. SPIE 6246, Visual Information Processing XV, 62460N (12 May 2006); doi: 10.1117/12.663648
Show Author Affiliations
L. Gagnon, CRIM (Canada)
F. Laliberté, CRIM (Canada)
S. Foucher, CRIM (Canada)
A. Branzan Albu, Univ. of Victoria (Canada)
D. Laurendeau, Laval Univ., Quebec (Canada)


Published in SPIE Proceedings Vol. 6246:
Visual Information Processing XV
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)

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