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• W2890898874 abstract "In this paper we present a novel non-Bayesian filtering method for tracking multiple objects with a particular application in time-lapse cell microscopic video sequence. In our method the heat-map of the frame sequence is extracted and represented as a pseudo-probability hypothesis density of the image. The pseudo-probability hypothesis density is used as measurements and fused with a prior Poisson random finite set density. We employed Cauchy-Schwarz divergence for information fusion. The presented algorithm was tested on a publicly available cell microscopic video sequence." @default.
• W2890898874 created "2018-09-27" @default.
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• W2890898874 date "2018-07-01" @default.
• W2890898874 modified "2023-10-14" @default.
• W2890898874 title "Non-Bayesian Track-Before-Detect Using Cauchy-Schwarz Divergence-Based Information Fusion" @default.
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• W2890898874 doi "https://doi.org/10.23919/icif.2018.8455726" @default.
• W2890898874 hasPublicationYear "2018" @default.
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