By Topic

A flexible multimodal object tracking system

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)
H. Breit ; Inst. of Human-Machine-Commun., Munich Univ. of Technol., Germany ; G. Rigoll

In this paper we present a flexible multimodal object tracking system. It is based on a particle filter, which combines the outputs of different measurement methods (also called modes or cues) in a flexible manner. The modes for locating the desired object can be selected depending on the specific object, which is to be tracked, and the environment of the object. By combining multiple modes we aim to add the strengths while at the same time to overcome the specific disadvantages of the different modes. Thus the robustness of the tracking system will be increased and a successful tracking will be possible in critical situations where a system using only a single mode would fail. We have used this approach for tracking persons in different environments. The measurement modes, which we have implemented for this purpose, are a pseudo 2-dimensional hidden Markov model (P2DHMM), a color based skin finder, and a motion detector. We describe the theory and the architecture of this tracking system and finally depict some exemplary results.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003