Gravity optimised particle filter for hand tracking
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 the peak of the likelihood distribution, impr...
Main Authors: | Morshidi, Malik Arman, Tjahjadi, Tardi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2014
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/35420/ http://irep.iium.edu.my/35420/ http://irep.iium.edu.my/35420/ http://irep.iium.edu.my/35420/1/Gravity_Optimised_Particle_Filter_for_Hand_Tracking.pdf |
Similar Items
-
Comparison of two total RNA extraction protocols from CHO-KI cells for RT-PCR: cut-off cost for researcher
by: Packeer Mohamed, Vasila, et al.
Published: (2011) -
Mode-locked 2μm fiber laser with a multi-walled
carbon nanotube as a saturable absorber
by: Azooz, Salam . M, et al.
Published: (2015) -
Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
by: Olanrewaju, R. F., et al.
Published: (2011) -
Viewpoint invariant semantic object and scene categorization with RGB-D sensors
by: Mohd Zaki, Hasan Firdaus, et al.
Published: (2019) -
Machine takeover the growing threat to human freedom in a computer-controlled society
by: George (Frank Honywill) 1921-
Published: (1977)