Robust infrared target tracking using thermal information in mean-shift

Sungmin Yun; Sungho Kim

doi:10.1117/12.2519191

13 May 2019 Robust infrared target tracking using thermal information in mean-shift

Sungmin Yun, Sungho Kim

Proceedings Volume 10995, Pattern Recognition and Tracking XXX; 1099509 (2019) https://doi.org/10.1117/12.2519191
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

The basic computational module of the technique is an old pattern recognition procedure: the mean-shift. In case of gray level feature domain, the spatial information of the target is lost when the background brightness histogram is the same as the target histogram. In this paper, we propose a new algorithm that is independent of background contrast by changing features from a conventional brightness based histogram to a temperature- based histogram. The proposed algorithm can track targets robustly regardless to target-background contrast. The experiment results demonstrate that the temperature-based Mean-Shift outperforms comparing with the brightness-based Mean-Shift when track a object with successive background variations.

Conference Presentation

Citation Download Citation

Sungmin Yun and Sungho Kim "Robust infrared target tracking using thermal information in mean-shift", Proc. SPIE 10995, Pattern Recognition and Tracking XXX, 1099509 (13 May 2019); https://doi.org/10.1117/12.2519191

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available