Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Face recognition in multi-camera surveillance videos using Dynamic Bayesian Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Le An ; Center for Res. in Intell. Syst., Univ. of California, Riverside, Riverside, CA, USA ; Kafai, M. ; Bhanu, B.

Face recognition in surveillance videos is inherently difficult due to the limitation of the camera hardware as well as the image acquisition process in which non-cooperative subjects are recorded in arbitrary poses and resolutions in different lighting conditions with noise and blurriness. Furthermore, as multiple cameras are usually distributed in a camera network and the subjects are moving, different cameras often capture the subject in different views. In this paper, we propose a probabilistic approach for face recognition suitable for a multi-camera video surveillance network. A Dynamic Bayesian Network (DBN) is used to incorporate the information from different cameras as well as the temporal clues from consecutive frames. The proposed method is tested on a public surveillance video dataset. We compare our method to different well-known classifiers with various feature descriptors. The results demonstrate that by modeling the face in a dynamic manner the recognition performance in a multi-camera network can be improved.

Published in:

Distributed Smart Cameras (ICDSC), 2012 Sixth International Conference on

Date of Conference:

Oct. 30 2012-Nov. 2 2012