Results 31 to 40 of about 223,064 (315)
IEEE Access, 2019 At present, urban computing and intelligence has become an important topic in the research field of artificial intelligence. On the other hand, computer vision as a crucial bridge between urban world and artificial intelligence is playing a key role in ...
Li Huang +5 more
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Combined data association and evolving particle filter for tracking of multiple articulated objects. [PDF]
, 2011 This paper proposes an approach for tracking multiple articulated targets using a combined data association and evolving population particle filter. A visual target is represented as a pictorial structure using a collection of parts together with a model
Mihaylova, Lyudmila +7 more
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A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter [PDF]
, 2012 Prediction of traffic flow variables such as traffic volume, travel speed or travel time for a short time horizon is of paramount importance in traffic control.
Romain Billot +9 more
core +1 more source
A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity.
PLoS ONE, 2021 A hybrid particle ensemble Kalman filter is developed for problems with medium non-Gaussianity, i.e. problems where the prior is very non-Gaussian but the posterior is approximately Gaussian. Such situations arise, e.g., when nonlinear dynamics produce a
Ian Grooms, Gregor Robinson
doaj +1 more source
Multiple object tracking using particle filters [PDF]
, 2006 The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah +11 more
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Complexity, 2020 As one of the most important communication tools for human beings, English pronunciation not only conveys literal information but also conveys emotion through the change of tone.
Hui Dong
doaj +1 more source
Tempered Particle Filtering [PDF]
Finance and Economics Discussion Series, 2016 The accuracy of particle filters for nonlinear state-space models crucially depends on the proposal distribution that mutates time t-1 particle values into time t values. In the widely-used bootstrap particle filter this distribution is generated by the state-transition equation.
Edward Herbst, Frank Schorfheide
openaire +3 more sources
Gravity optimised particle filter for hand tracking [PDF]
, 2014 This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the gravitational force for every particle is proportional to its weight. GOPF attracts nearby particles and replicates new particles as if moving the particles towards
Tjahjadi, Tardi +4 more
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Intelligent Trigonometric Particle Filter for visual tracking
, 2022 Visual tracking is one of the pre-eminent tasks in several computer vision applications. Particle filter (PF) is extensively used in visual tracking for intelligent surveillance system applications, hugely significant. But the re-sampling procedure of PF
Nenavath, Hathiram +3 more
core +1 more source
MethodsX, 2022 The concentrations of small microplastics (diameter
Haodong Xu, Hisayuki Arakawa
doaj +1 more source