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: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals.
Conor Rosato
Joshua Murphy
Alessandro Varsi
Paul R. Horridge
Simon Maskell
Published in:
CoRR (2024)
Keyphrases
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gradient information
particle filter
particle filtering
object tracking
visual tracking
monte carlo
multiple object tracking
motion model
mean shift
kalman filter
objective function
state space
appearance model
bayesian filtering
abrupt motion
image gradient
image processing
computer vision