CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11172 > Article
Paper
16 July 2019 Small target tracking using KCF and adaptive thresholding
Sun-Gu Sun, Eui-Hyuk Lee
Author Affiliations +
Proceedings Volume 11172, Fourteenth International Conference on Quality Control by Artificial Vision; 111721D (2019) https://doi.org/10.1117/12.2520540
Event: Fourteenth International Conference on Quality Control by Artificial Vision, 2019, Mulhouse, France
Abstract
Recently, visual object tracking has become a vital role in many different applications. It spans various applications like robotics, video surveillance, and intelligent vehicle navigation. In the Counter-UAV (Unmanned Aerial Vehicle) system, in order to shoot down illegal UAVs flying in the sky, it is very important task to accurately track UAV by an image sensor. However, accurate target tracking is a difficult problem because the distance to the target is far, there are severe shape changes, and the target is often obscured. The remarkable method in object tracking is correlation filter based tracker like KCF (Kernelized Correlation Filter). Although the tracker is very competitive in terms of computation time and performance among the state-of-the-art trackers, it has problems related to target drift in tracking process. It comes from that target objects undergo significant appearance variation due to deformation, partial occlusion, camera shaking, and illumination changes. To mitigate the drift problem of the target in CUAV application, we propose a tracking method which uses KCF and adaptive thresholding. When the correlation response is less than a certain value during KCF process, the result of adaptive thresholding adjusts the tracking point. In the experiment, the proposed method was verified by using image sequence obtained by a monochrome camera on the CUAV system.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Sun-Gu Sun and Eui-Hyuk Lee "Small target tracking using KCF and adaptive thresholding", Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111721D (16 July 2019); https://doi.org/10.1117/12.2520540
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms
Unmanned aerial vehicles
Image filtering
Filtering (signal processing)
Defense and security
Digital image correlation and tracking
UAV imaging systems
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top