By Topic

Distributed data association in smart camera networks

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
$33 $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

2 Author(s)
Wan Jiuqing ; Department of Automation, Beijing University of Aeronautics and Astronautics, Beijing, China ; Liu Qingyun

One of the fundamental requirements for visual surveillance with smart camera networks is the correct association of camera's observations with the track of objects under tracking. Most of the current systems are centralized in that the observations on all cameras need to be transmitted to a central server where some data association algorithm is running. In this paper, we propose a distributed data association approach in which the data association inference is achieved by propagation of beliefs of the association variables between neighboring cameras. We also incorporate the distributed inference into distributed EM framework to solve the problem of data association and object appearance learning simultaneously in a complete distributed manner. The proposed method is tested on artificial data and on real world observations collected by a camera networks in an office building.

Published in:

Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on

Date of Conference:

22-25 Aug. 2011