System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

An object tracking method using particle filter and scale space model

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

5 Author(s)
PyeongGang Heo ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea ; Su-Jin Park ; Sang-Hung Jin ; Bo Yeoun Yeou
more authors

In this paper, we propose and object tracking algorithm to track an object on IR image sequences, which has appearance changes. In our framework based on particle filter, histograms of intensity and orientation on scale space are used as observation models. Histogram of intensity is robust to shape variation but lack of distinction between target and similar background due to loss of spatial information. Histogram of gradient orientation complements the spatial information. Because the histogram models are extracted from scale space, target model maintains consistency with initial model in different scales. We also propose an efficient method of model update and demonstrate the proposed method for several sequences in which a target changes largely in size and appearance.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009