In this paper we present an integrated system for face detection, tracking and recognition in complex scenes. The face detector is based on colour skin models, with adaptation to cope with non-stationary colour distributions over time. The face model is tracked along the sequence with a particle filter by comparing its colour histogram with the colour histogram of the sample position by means of the Bhattacharyya coefficient. Face identification is based on statistical deformable models, as Active Shape Models (ASM) and Active Appearance Models (AAM) for feature extraction and a multiclass Support Vector Machine as classifier. We have tested both models with a database of 100 faces verifying the best performance of the AAM model compared with the ASM model.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.