By Topic

Intensity-Distance Projection Space Based Human Tracking in Far-Infrared Image Sequences

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)
Jianfu Li ; Key Lab. for Optoelectron. Technol., Chongqing Univ., Chongqing, China ; Weiguo Gong ; Jinfei Yang ; Weihong Li

This paper presents a novel and effective method for robust human tracking applied to far-infrared image sequences. It makes use of the characteristics of human body regions in far-infrared images and is based on a particle filter framework. The method constructs the regions of interestpsilas (ROI) histogram representation in an intensity-distance projection space, so as to hurdle the disadvantage of insufficient information when only intensity feature is considered. Furthermore, it correctly updates the above mentioned human body representation model which is embedded in the particle filter framework and propagate sample distributions over time. Experimental results using different far-infrared image sequences show the proposed scheme achieves more robust and stable than the classical tracking method.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:6 )

Date of Conference:

March 31 2009-April 2 2009