Regular Articles

Ground maneuvering target tracking based on the strong tracking and the cubature Kalman filter algorithms

[+] Author Affiliations
Min Gao

Shijiazhuang Mechanical Engineering College, Electronic Engineering Department, Xinhua Region, Heping Road, No. 97, Shijiazhuang, 050003, China

Heng Zhang

Huayin Ordnance Test Center, Huayin, Shanxi, 714200, China

Yulong Zhou

66393 Postdoctoral Science and Research Station, Lianchi Region, Qiyi Road, No. 195, Baoding, 071002, China

Baoquan Zhang

State Grid Hebei Electronic Power Company Maintenance Branch, XinHua Region, Zhongsheng Road No. 66, Shijiazhuang, 050071, China

J. Electron. Imaging. 25(2), 023006 (Mar 16, 2016). doi:10.1117/1.JEI.25.2.023006
History: Received November 5, 2015; Accepted February 22, 2016
Text Size: A A A

Abstract.  In an effort to improve the tracking accuracy of the ground maneuvering target in infrared images, a method is proposed based on the strong tracking filter (STF) and the cubature Kalman filter (CKF) algorithms. In this method, the fading factor is introduced from the STF algorithm and is calculated by transforming the nonlinear measurement variance matrix to be linear approximately, and then the fading factor is used to correct the prediction error covariance matrix (PECM) of CKF, so that the gain matrix can be adjusted at real time and hence the tracking ability of the maneuvering target could be improved. After the digital simulation experiment, it is shown that, comparing with CKF and the unscented Kalman filter algorithms, the average tracking accuracy of the location is increased by more than 20% with the target velocity under 20  m/s and acceleration under 5  m/s2, and it can even be increased by 50% when the target step maneuver occurs. With the tracking experiment on the real infrared tank images, it can be concluded that the target could be tracked stably by the proposed method, and the maximum tracking error is not more than 8 pixels even though the 180 deg turning takes place.

Figures in this Article
© 2016 SPIE and IS&T

Citation

Min Gao ; Heng Zhang ; Yulong Zhou and Baoquan Zhang
"Ground maneuvering target tracking based on the strong tracking and the cubature Kalman filter algorithms", J. Electron. Imaging. 25(2), 023006 (Mar 16, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.2.023006


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.