Infrared dim target tracking based on guide filter and Bayes classification

Kun Qian; Hui-xin Zhou; Han-lin Qin; Shang-zhen Song; Dong Zhao; Bing-jian Wang

doi:10.1117/12.2247411

1 November 2016 Infrared dim target tracking based on guide filter and Bayes classification

Kun Qian, Hui-xin Zhou, Han-lin Qin, Shang-zhen Song, Dong Zhao, Bing-jian Wang

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101573I (2016) https://doi.org/10.1117/12.2247411
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

An infrared dim and small tracking is proposed based on an explicit image filter - guided filter. The guided filter utilizes the structure in the guidance image and performs as an edge-preserving smoothing operator. The superior performance depending on the guidance image is critical advantage for target tracking. First, the guided filter can help to preserve the detail of the valuable templates and make the inaccurate ones blurry so that the tracker can distinguish the target from numerous bad templates easily. Besides, the filter can recover the content of the small target being influenced according to the guidance image, helping to alleviate the drifting problem effectively. Finally, the candidate samples are utilized to train an effective Bayes classifier to generate a robust tracker, which is easy to be implemented. Experimental results demonstrate that the presented method can track the target effectively, compared with several classical methods. Experimental results show that the proposed algorithm outperforms relative trackers in the accuracy and the robustness.

Citation Download Citation

Kun Qian, Hui-xin Zhou, Han-lin Qin, Shang-zhen Song, Dong Zhao, and Bing-jian Wang "Infrared dim target tracking based on guide filter and Bayes classification", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101573I (1 November 2016); https://doi.org/10.1117/12.2247411

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