Paper
28 September 2016 Derivation of PHD-TBD filter and comments on ‘joint detection and estimation of multiple objects from image observations’
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Abstract
In this paper, through analyzing the derivation process and computer simulations, we find that the update formulas for PHD-TBD filter in paper [5] are somewhat unreasonably. When using the paper’s PHD update formula, the targets’ state parameters cannot be estimated. Following the method in paper 2, we treat the objects to be detected in TBD situations as special extended targets and derive a new PHD-TBD update formula analytically under this assumption. The correctness of the derivation is validated by computer simulations.
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Zhi-guang Shi and Yan Zhang "Derivation of PHD-TBD filter and comments on ‘joint detection and estimation of multiple objects from image observations’", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99713A (28 September 2016); https://doi.org/10.1117/12.2239255
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KEYWORDS
Computer simulations

Particles

Monte Carlo methods

Target detection

Signal to noise ratio

Image filtering

Image processing

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