Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. For technical support, please contact us at We apologize for any inconvenience.
By Topic

An approximation algorithm for the least overlapping p-Frame problem with non-partial coverage for networked robotic cameras

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

4 Author(s)
Yiliang Xu ; Comput. Sci. Dept., Texas A&M Univ., College Station, TX ; Dezhen Song ; Jingang Yi ; van der Stappen, A.F.

We report our algorithmic development of the p-frame problem that addresses the need of coordinating a set of p networked robotic pan-tilt-zoom cameras for n, (n > p), competing polygonal requests. We assume that the p frames have almost no overlap on the coverage between frames and a request is satisfied only if it is fully covered. We then propose a Resolution Ratio with Non-Partial Coverage (RRNPC) metric to quantify the satisfaction level for a given request with respect to a set of p candidate frames. We propose a lattice-based approximation algorithm to search for the solution that maximizes the overall satisfaction. The algorithm builds on an induction-like approach that finds the relationship between the solution to the (p - 1)-frame problem and the solution to the p-frame problem. For a given approximation bound isin, the algorithm runs in O(n/isin3 +p2/isin6) time. We have implemented the algorithm and experimental results are consistent with our complexity analysis.

Published in:

Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on

Date of Conference:

19-23 May 2008