Probability hypothesis density filter with uncertainty in the probability of detection
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Space Research"
DOI: 10.1016/j.asr.2020.11.035
Abstract: Abstract The space around the earth is becoming increasingly populated. Efficient tracking algorithms are hence integral to protect active space assets from collisions. Ground-based measurements are the primary source of information for any tracking algorithm.… read more here.
Keywords: probability hypothesis; space; probability; uncertainty ... See more keywords
Automated neuron tracing using probability hypothesis density filtering
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw751
Abstract: Motivation: The functionality of neurons and their role in neuronal networks is tightly connected to the cell morphology. A fundamental problem in many neurobiological studies aiming to unravel this connection is the digital reconstruction of… read more here.
Keywords: neuron tracing; probability hypothesis; hypothesis density; using probability ... See more keywords
Improved Gaussian Mixture Probability Hypothesis Density for Tracking Closely Spaced Targets
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electronics and Telecommunications"
DOI: 10.1515/eletel-2017-0033
Abstract: Probability hypothesis density (PHD) filter is a suboptimal Bayesian multi-target filter based on random finite set. The Gaussian mixture PHD filter is an analytic solution to the PHD filter for linear Gaussian multi-target models. However,… read more here.
Keywords: probability hypothesis; spaced targets; hypothesis density; phd filter ... See more keywords