Generalized Multi-Bernoulli filter for track-before-detect of objects from image observations

SHI Zhi-Guang; ZHOU Jian-Xiong; ZHANG Yan

doi:10.11972/j.issn.1001-9014.2018.03.018

[1] Punithakumar K, Kirubarajan T. A sequential monte carlo probability hypothesis density algorithm for multitarget track-before-detect: Proceedings of the SPIE Signal and Data Processing of Small Targets, 2005［C］. San Diego, CA, USA: SPIE, 2015: 59131S-1-59131S-8.

[3] Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, et al. Joint detection and estimation of multiple objects from image observations ［J］. IEEE Transactions on Signal Processing, 2010, 58(10):5129 -5141.

[5] Mahler R, El-Fallah A. An approximate CPHD filter for superpositional sensors: Proceedings of SPIE Signal Processing, Sensor Fusion, and Target Recognition XXI, 2012 ［C］. Baltimore, MD, USA: SPIE, 2012: 83920K-1-83920K-11.

[6] Nannuru S, Coates M. Hybrid Multi-Bernoulli and CPHD Filters for Superpositional Sensors ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(4):2847-2863.

[7] Nannuru S, Coates M, Mahler R. Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors ［J］. IEEE Journal of Selected Topics in Signal Processing, 2013, 7(3):410-420.

[8] Papi F, Kim D Y. A particle multi-target tracker for superpositional measurements using labeled random finite sets ［J］. IEEE Transactions on Signal Processing, 2015, 63(16):4348-4358.

[9] Papi F, Ba-Ngu Vo, Ba-Tuong Vo, et al. Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities ［J］. IEEE Transactions on Signal Processing, 2015, 63(20):5487-5497.

[10] Clark D, Bell J. Multi-target state estimation and track continuity for the particle PHD filter ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(4):1441-1453.

[11] Mahler R. Statistical Multisource-Multitarget Information Fusion ［M］. BOSTON London: ARTECH HOUSE, INC. 2007: 371-372.