Abstract
An improved joint particle filter (JPF) algorithm is proposed by decomposing the joint particle weights. In the proposed method, the joint particle weights are used to estimate target states and the decomposed weights are used to resample particles of each target. Simulation results show that the proposed algorithm can better track closely spaced multi-target and/or other crossing targets, has a better performance than the conventional joint particle filter and the independent particle filter (IPF) algorithm.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yang, JL., Ji, HB. (2011). An Improved Joint Particle Filter Algorithm for Multi-target Tracking. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_3
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DOI: https://doi.org/10.1007/978-3-642-27183-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27182-3
Online ISBN: 978-3-642-27183-0
eBook Packages: Computer ScienceComputer Science (R0)