169
Views
9
CrossRef citations to date
0
Altmetric
Articles

Maneuvering target tracking from nautical radar images using particle-Kalman filters

&
Pages 2366-2378 | Received 25 Apr 2013, Accepted 19 Sep 2013, Published online: 15 Oct 2013

References

  • SkolnikM. Radar handbook. 2nd ed. New York: McGraw-Hill; 1990.
  • FarinaA, StuderFA. Radar data processing. Vol. 1. Introduction and tracking. England: Research Studies Press; 1985.
  • ArulampalamMS, MaskellS, GordonN, ClappT. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Proces. 2002;50:174–188.
  • JulierSJ, UhlmannJK. A new extension of the Kalman filter to nonlinear system. Proc. SPIE. 1997;3068:182–193.
  • GordonNJ, SalmondDJ, SmithAFM. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proc.-F. 1993;140:107–113.
  • GustafssonF, BergmanN, ForssellU, JanssonJ, KarlssonR, NordlundPJ. Particle filters for positioning, navigation, and tracking. IEEE Trans. Signal Proces. 2002;50: 425–437.
  • ZhouSK, ChellappaR, MoghaddamB. Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans. Image Process. 2004;13:1491–1506.
  • MaggioE, CavallaroA. Hybrid particle filter and Mean Shift tracker with adaptive transition model. In: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing; 2005.
  • NaeemA, SMills, PridmoreT. Structured combination of particle filter and kernel mean-shift tracking. In: Proc. Int. Conf. Image and Vision Computing; 2006.
  • ShanC, TanT, WeiY. Real-time hand tracking using a mean shift embedded particle filter. Pattern Recogn. 2007;40:1958–1970.
  • ZauggDA, SamuelAA, WaagenDE, SchmittHA. A combined particle/Kalman filter for improved tracking of beam aspect targets. In: IEEE Statistical Signal Processing, Workshop. 2003.
  • WonSH, MelekWW, GolnaraghiF. A Kalman/particle filter-based position and orientation estimation method using a position sensor/inertial measurement unit hybrid system. IEEE Trans. Ind. Electron. 2010;57:1787–1798.
  • PawlakRJ. Combined unscented Kalman and particle filtering for tracking closely spaced objects. In: IEEE Int. Conf. Information Fusion; 2006.
  • XiangX. A brief review on visual tracking methods. In: Chinese Conf. Intelligent Visual Surveillance (IVS); 2011. p. 41–44.
  • BabenkoB, YangM, BelongieS. Visual tracking with online multiple instance learning. In: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2009. p. 983–990.
  • KwonJ, LeeK. Visual tracking decomposition. In: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2010. p. 1269–1276.
  • AvidanS. Ensemble Tracking. IEEE Tran. Pattern Anal. Mach. Intel. 2007;29:261–271.
  • ChenS, HuangW.Target tracking using particle filter with X-band nautical radar. In: Proc. IEEE Radar Conf.; 2013.
  • DjuricPM, KotechaJH, ZhangJ, HuangY, GhirmaiT, BugalloMF, MiguezJ. Particle filtering. IEEE Signal Proces. Mag. 2003;20: 19–38.
  • ComaniciuD, RameshV, MeerP. Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 2003;25:564–577.
  • KailathT. The divergence and Bhattacharyya distance measures in signal selection. IEEE Trans. Commun. 1967;15:52–60.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.