An Average Marginal Density Based Fusion Algorithm for Multi-target Tracking

LYU Li-ping; WANG Li-juan; ZHANG Yu-hong

doi:10.3969/j.issn.1671-637x.2017.12.022

[1] LIGGINS M E, CHONG C Y, KADAR I, et al. Distributed fusion architectures and algorithms for target tracking［J］. Proceedings of the IEEE, 1997, 85(1): 95-107.

[2] SINGER R A, KANYUCK A J. Computer control of multiple site track correlation［J］. Automatica, 1971, 7(4): 455-463.

[3] BAR-SHALOM Y, CAMPO L. The effect of the common process noise on the two-sensor fused-track covariance［J］. IEEE Transactions on Aerospace and Electronic Systems, 1986, AES-22(6): 803-805.

[4] BAR-SHALOM Y. On the track-to-track correlation pro-blem［J］. IEEE Transactions on Automatic Control, 1981, 26(2): 571-572.

[5] DRUMMOND O E. Hybrid sensor fusion algorithm architecture and tracklets［C］//Optical Science, Engineering and Instrumentation97, International Society for Optics and Photonics, 1997: 485-502.

[6] DRUMMOND O E. Tracklets and a hybrid fusion with process noise［C］//Optical Science, Engineering and Instrumentation97, International Society for Optics and Photonics, 1997: 512-524.

[7] CHONG C Y, MORI S, BARKER W H, et al. Architectures and algorithms for track association and fusion［J］. Aerospace and Electronic Systems Magazine, IEEE, 2000, 15(1): 5-13.

[8] LI X R, ZHU Y, WANG J, et al. Optimal linear estimation fusion-part I: unified fusion rules［J］. IEEE Transactions on Information Theory, 2003, 49(9): 2192-2208.

[9] UHLMANN J K. General data fusion for estimates with unknown cross covariance［C］//Aerospace/Defense Sensing and Controls International Society for Optics and Photonics, 1996: 536-547.

[10] UPCROFT B, ONG L L, KUMAR S, et al. Rich probabilistic representations for bearing only decentralized data fusion［C］//The 8th International Conference on Information Fusion, IEEE, 2005: 1054-1061.

[11] MAHLER R P S. Optimal/robust distributed data fusion: a unified approach［C］//AeroSense International Society for Optics and Phhotonics, 2000: 128-138.

[12] LI X R, ZHANG P. Optimal linear estimation fusion-part III: cross-correlation of local estimation errors［C］//Proceedings of the 4th International Conference of Information Fusion, 2001: 11-18.

[13] CHANG C B, YOUENS L C. Measurement correlation for multiple sensor tracking in a dense target environment［J］. IEEE Transactions on Automatic Control, 1982, 27(6): 1250-1252.

[14] PATTIPATI K R, DEB S, BAR-SHALOM Y, et al. A new relaxation algorithm and passive sensor data association［J］. IEEE Transactions on Automatic Control, 1992, 37(2): 198-213.

[15] GNING A, RISTIC B, MIHAYLOVA L. Bernoulli/box-particle filters for detection and tracking in the presence of triple measurement uncertainty［J］. IEEE Transactions on Signal Processing, 2012, 60(5): 2138-2151.

[16] ZHAO X, SONG L. Box-particle implementation for cardinality balanced multi-target multi-Bernoulli filter［C］//Proceedings of the Signal and Information Processing, 2013: 11-15.

[19] JULIER S J. An empirical study into the use of chernoff information for robust, distributed fusion of Gaussian mixture models［C］//The 9th International Conference on Information Fusion, IEEE, 2006: 1-8.

[20] KEENER R W. Probability and measure［J］. Journal of the American Statistical Association, 1953, 91: 235-280.

[21] SCHUHMACHER D, VO B T, VO B N. A consistent metric for performance evaluation of multi-object filters［J］. IEEE Transactions on Signal Processing, 2008, 56(8): 3447-3457.