Joint Integrated Track Splitting for Multi-sensor Multi-target Tracking in Clutter

Yifan Xie, Haeho Lee, Myonghwan Ahn, Bum Jik Lee, Taek Lyul Song

Abstract

Automatic object tracking for track initialization, confirmation and termination can be realized by using the probability of target existence, which is a track quality measure for false track discrimination. In this paper, we present a multi-sensor multi-target tracking application based on the probability of target existence and multi-sensor joint integrated track splitting (MS-JITS), which is an extension of JITS framework to multisensor systems. For fair comparison, incorporation of the target existence paradigm and the S-D assignment is implemented. This work also consummates the S-D assignment based estimators for track management by the probability of target existence.

References

  1. Bar-Shalom, Y. and Li, X. (1995). Multitarget-Multisensor Tracking: Principles and Techniques. YBS Publishing.
  2. Bar-Shalom, Y., Willett, P. K., and Tian, X. (2011). Tracking and Data Fusion. YBS Publishing.
  3. Blackman, S. (2004). Multiple hypothesis tracking for multiple target tracking. IEEE Aerospace and Electronic Systems Magazine, 19(1):5-18.
  4. Blackman, S. and Popoli, R. (1999). Design and Analysis of Modern Tracking Systems. Artech House.
  5. Challa, S., Morelande, M. R., Mus?icki, D., and Evans, R. J. (2011). Fundamentals of object tracking. Cambridge University Press.
  6. Deb, S., Yeddanapudi, M., Pattipati, K., and Bar-Shalom, Y. (1997). A generalized s-d assignment algorithm for multisensor-multitarget state estimation. IEEE Transactions on Aerospace and Electronic Systems, 33(2):523-538.
  7. Frei, C. W. and Pao, L. Y. (1998). Alternatives to montecarlo simulation evaluations of two multisensor fusion algorithms. Automatica, 34(1):103-110.
  8. Gilbertand, K. C. and Hofstra, R. B. (1988). Multidimensional assignment problems. Decision Sciences, 19(2):306-321.
  9. Habtemariam, B., Tharmarasa, R., Thayaparan, T., Mallick, M., and Kirubarajan, T. (2013). A multiple-detection joint probabilistic data association filter. IEEE Journal of Selected Topics in Signal Processing, 7(3):461- 471.
  10. Kirubarajan, T., Wang, H., Bar-Shalom, Y., and Pattipati, K. R. (2001). Efficient multisensor fusion using multidimensional data association. IEEE Transactions on Aerospace and Electronic Systems, 37(2):386-400.
  11. Mus?icki, D. (2006). Track score and target existence. In 9th Int. Conf. on Information Fusion, pages 1-7.
  12. Mus?icki, D., Evans, R., and Stankovic, S. (1994). Integrated Probabilistic Data Association (IPDA). IEEE Trans. Automatic Control, 39(6):1237-1241.
  13. Mus?icki, D. and Evans, R. J. (2009). Multiscan multitarget tracking in clutter with integrated track splitting filter. IEEE Transactions on Aerospace and Electronic Systems, 45(4):1432-1447.
  14. Mus?icki, D., Scala, B. F., and Evans, R. J. (2007). The integrated track splitting filter efficient multi-scan single target tracking in clutter. IEEE Transactions on Aerospace and Electronic Systems, 43(4):1409-1425.
  15. Pao, L. Y. and Frei, C. W. (1995). A comparison of parallel and sequential implementations of a multisensor multitarget tracking algorithm. In American Control Conference, Proceedings, volume 3, pages 1683-1687.
  16. Pattipati, K. R., Deb, S., Bar-Shalom, Y., and Washburn, R. B. (1992). A new relaxation algorithm and passive sensor data association. IEEE Transactions on Aerospace and Electronic Systems, 37(2):198-213.
  17. Popp, R. L., Pattipati, K. R., and Bar-Shalom, Y. (2001). m-best s-d assignment algorithm with application to multitarget tracking. IEEE Transactions on Aerospace and Electronic Systems, 37(1):22-39.
  18. Reid, D. (1979). An algorithm for tracking multiple targets. IEEE Transactions Automatic Control, 24(6):843- 854.
  19. Shi, Y. F., Song, T. L., and Lee, J. H. (2015a). Multitarget tracking in clutter using a high pulse repetition frequency radar. IET, Radar, Sonar and Navigation, 9(8):1047-1054.
  20. Shi, Y. F., Song, T. L., and Mus?cki, D. (2015b). Target tracking in clutter using a high pulse repetition frequency radar. IET, Radar, Sonar and Navigation, 9(3):299-307.
  21. Smith, D. and Singh, S. (2006). Approaches to multisensor data fusion in target tracking: a survey. IEEE Transactions on Knowledge and Data Engineering, 18(12):1696-1710.
  22. Song, T. L., Kim, H., and Mus?icki, D. (2015a). Distributed (nonlinear) target tracking in clutter. IEEE Transactions on Aerospace and Electronic Systems, 51(1):654-668.
  23. Song, T. L., Kim, H. W., and Musicki, D. (2015b). Iterative joint integrated probabilistic data association for multitarget tracking. IEEE Transactions on Aerospace and Electronic Systems, 51(1):642-653.
  24. Song, T. L., Mus?cki, D., and Kim, Y. (2015c). Multitarget tracking with state dependent detection. IET, Radar, Sonar and Navigation, 9(1):10-18.
  25. Song, T. L., Mus?icki, D., Kim, H. W., and Govaers, F. (2013). Gaussian mixture tracking: Mht and its comparison. In Sensor Data Fusion: Trends, Solutions, Applications (SDF), pages 1-6.
  26. Xiong, N. and Svensson, P. (2002). Multi-sensor management for information fusion: issues and approaches. In 5th Int. Conf. on Information Fusion, volume 3, pages 163-186.
Download


Paper Citation


in Harvard Style

Xie Y., Lee H., Ahn M., Lee B. and Song T. (2016). Joint Integrated Track Splitting for Multi-sensor Multi-target Tracking in Clutter . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 299-307. DOI: 10.5220/0005960102990307


in Bibtex Style

@conference{icinco16,
author={Yifan Xie and Haeho Lee and Myonghwan Ahn and Bum Jik Lee and Taek Lyul Song},
title={Joint Integrated Track Splitting for Multi-sensor Multi-target Tracking in Clutter},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={299-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005960102990307},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Joint Integrated Track Splitting for Multi-sensor Multi-target Tracking in Clutter
SN - 978-989-758-198-4
AU - Xie Y.
AU - Lee H.
AU - Ahn M.
AU - Lee B.
AU - Song T.
PY - 2016
SP - 299
EP - 307
DO - 10.5220/0005960102990307