By Topic

Adaptive Probabilistic Tracking Embedded in a Smart Camera

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

2 Author(s)
Fleck, S. ; WSI/GRIS, University of Tubingen ; Strasser, W.

Tracking applications based on distributed and embedded sensor networks are emerging today, both in the field of surveillance (airports, lab facilities, train stations, museums, public spots) and industrial vision (visual servoing, factory automation). Traditional centralized approaches offer several drawbacks, due to limited communication bandwidth, computational requirements and thus also limited spatial camera resolution and framerate. In this paper, we present a network-enabled Smart Camera for probabilistic tracking. It is capable of tracking objects adaptively in real-time and offers a very bandwidthconservative approach, as the whole computation is performed embedded in the Smart Camera, and only the tracking results are transmitted which are on a higher level of abstraction.

Published in:

Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on

Date of Conference:

25-25 June 2005