By Topic

Trajectories extraction from image sequences based on kinematic

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)
Mostafaoui, G. ; LISIF, Paris, France ; Achard, C. ; Milgram, M.

The problem of moving person tracking, without knowledge about the number of persons in the scene, and by taking into account occlusion, under-segmentation and over-segmentation, is challenging. A first motion detection gives us regions with several segmentation problems due to bad acquisition conditions. The tracking step, which has to manage all these problems, is realized with the EM algorithm (expectation maximization). It uses a kinematic model: we suppose a rectilinear and uniform apparent motion, this hypothesis seems very restrictive but remains locally accurate in most applications. Good results are obtained with this approach on several sequences, without any initialization.

Published in:

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Date of Conference:

17-19 Sept. 2003