Infrared target tracking using multiple instance learning with adaptive motion prediction and spatially template weighting

Xinchu Shi; Weiming Hu; Yun Cheng; Genshe Chen; Jingjing Ji; Haibin Ling

doi:10.1117/12.2015614

1 October 2013 Infrared target tracking using multiple instance learning with adaptive motion prediction and spatially template weighting

Xinchu Shi, Weiming Hu, Yun Cheng, Genshe Chen, Jingjing Ji, Haibin Ling

Author Affiliations +

Proceedings Volume 8739, Sensors and Systems for Space Applications VI; 873912 (2013) https://doi.org/10.1117/12.2015614
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

In this paper, we formulate the problem of infrared target tracking as a binary classification task and extend the online multiple instance learning tracker (MILTracker) for the task. Compared with many color or texture based tracking algorithms, the MILtracker highlights the difference between the target and the background or similar objects, and is thus suitable for infrared target tracking which undergoes serious textual information loss. To address the specific challenges in the infrared sequences, we extend the original MILtracker from two aspects. Firstly, an adaptive motion prediction procedure is integrated in to enhance the efficiency of the tracker. This step helps discriminate disturbing objects that are visual very similar to the target under tracking. Secondly, a spatial weight mask is introduced into the target representation to augment its robustness against similar background clutters, especially distracters. We apply the proposed approach on several challenging IR sequences. The experimental results clearly validate the effectiveness of our method with encouraging performances.

Citation Download Citation

Xinchu Shi, Weiming Hu, Yun Cheng, Genshe Chen, Jingjing Ji, and Haibin Ling "Infrared target tracking using multiple instance learning with adaptive motion prediction and spatially template weighting", Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 873912 (1 October 2013); https://doi.org/10.1117/12.2015614

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