By Topic

Object tracking as job-scheduling problem

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

6 Author(s)
Uwe Jaenen ; Inst. of Comput. Sci., Univ. Augsburg, Augsburg, Germany ; Henning Spiegelberg ; Lars Sommer ; Sebastian von Mammen
more authors

This paper establishes a connection between object tracking from a systems point of view and the job-scheduling or job-shop problem. Often, surveillance areas cannot be fully monitored by a set of smart cameras at any given point in time. Decisions have to be made, which objects are to be tracked. The computer vision aspects of object tracking have made substantial strides which permits for elaborately planning the monitoring jobs. In this paper, object tracking is handled as a job-scheduling problem. As a result, tracked objects are considered as scheduling jobs that rely on smart cameras as resources that follow according tracking policies. The presented job-scheduling approach is based on proactive quotations advertised by the jobs. The main advantages of this algorithm are the avoidance of negotiation chains and the acceptance of local non-optimal solutions to benefit the overall performance.

Published in:

Distributed Smart Cameras (ICDSC), 2013 Seventh International Conference on

Date of Conference:

Oct. 29 2013-Nov. 1 2013