Séminaire du CRIM : Adaptive Systems for Face Recognition in Video Surveillance

Séminaire du CRIM : Adaptive Systems for Face Recognition in Video Surveillance
21/01/15 13h30
CRIM (405, avenue Ogilvy, bureau 101)

Conférence en anglais

Par Eric Granger, Ph. D., professeur, École de technologie supérieure, Université du Québec, Montréal, Canada.

Abstract:
Recognizing faces belonging to individuals of interest in video surveillance remains a challenging problem due to camera interoperability and to variations over time of faces captured under uncontrolled conditions. In addition, the facial model of each individual is designed during enrollment using a limited number of reference samples. Although these models may be adapted when new reference stills or videos become available, incremental learning with faces captured under changing capture conditions may lead to knowledge corruption. This presentation describes specialized adaptive multi-classifier systems for video face recognition (FR) in changing surveillance environments. To sustain a high level of performance, yet preserve previous knowledge, these systems are adapted according to the context, and in response to new reference facial stills and trajectories. Experimental results obtained with the Faces in Action and Chokepoint video datasets indicate that the proposed systems allow for scalable architectures that can sustain a significantly higher level of accuracy than reference FR systems, while minimizing computational complexity.

Biography:
Eric Granger obtained a Ph.D. in Electrical Engineering from École Polytechnique de Montréal in 2001, and from 1999 to 2001, he was a Defence Scientist at Defence R&D Canada in Ottawa. Until then, his work was focused primarily on neural network signal processing for fast classification of radar signals in Electronic Surveillance systems. From 2001 to 2003, he worked in R&D with Mitel Networks Inc. on algorithms and electronic circuits to implement cryptographic functions in IP-based communication platforms.  In 2004, Dr. Eric Granger joined the ETS, Université du Québec, where he has developed applied research activities in the areas of patterns recognition, computer vision and microelectronics. He presently holds the rank of Full Professor, and is a member of the Laboratoire d’imagerie, de vision et d'intelligence artificielle (LIVIA), and the Regroupement pour l'étude des environnements partagés intelligents répartis (REPARTI). His main research interests are adaptive pattern recognition, incremental and on-line learning, change and context detection, computational intelligence, and multi-classifier systems, with applications in biometrics, video surveillance, and intrusion detection in computer and network security.


Les séminaires scientifiques sont donnés par des experts de renommée internationale, des professeurs d'université avec lesquels le CRIM collabore, le personnel de R-D du CRIM et ses boursiers de 2e et 3e cycles. Au programme, des présentations conviviales sur les dernières avancées scientifiques et technologiques. Ouvert à tous.

Inscription : Carmen.Robert@crim.ca ou 514 840-7992.
Conférence gratuite. Mercredi, le 21 janvier 2015, de 13 h 30 à 14 h 30.
Au CRIM, 405, avenue Ogilvy, bureau 101, Montréal.
 

 

 

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