By Topic

A Robust Approach for Anti-jamming Target Tracking in Forward Looking Infrared Imagery

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)
Guanhua Su ; Dept. of Electron. Eng., Tsinghua Univ., Beijing, China ; Huimin Ma ; Yu Hou

In this paper, we present a new robust approach of target tracking in infrared imagery based on Mean Shift tracking and clustering algorithm. Our approach works robustly on jammed images, which is usually under extreme situation. We first define the Jammed forward looking by 4 Features, and proposed tracking algorithm based on them. The proposed tracking algorithm mainly references Camshift, yet has many unique features. First, a quick mean shift clustering algorithm for one-dimension data is applied to shorten the time cost. Second, we introduce the idea of double possibility distribution image to get accurate position and size of target. Third, we discard the kernel function to avoid the influence of interference. Results show that the proposed tracking approach works smoothly despite of several harmful factors which other approaches fail to overcome.

Published in:

Image and Graphics (ICIG), 2011 Sixth International Conference on

Date of Conference:

12-15 Aug. 2011