scholarly journals Don’t Look Back: An Online Beat Tracking Method Using RNN and Enhanced Particle Filtering

2021 ◽  
Author(s):  
Mojtaba Heydari ◽  
Zhiyao Duan
Keyword(s):  
Particle Filtering ◽  
Tracking Method ◽  
Beat Tracking ◽  
Look Back

Robust Visual Tracking Using Particle Filtering on SL(3) Group

2013 ◽  
Vol 457-458 ◽  
pp. 1028-1031
Author(s):  
Ying Hong Xie ◽  
Cheng Dong Wu
Keyword(s):  
Dynamic Model ◽  
Visual Tracking ◽  
Particle Filtering ◽  
Transformation Process ◽  
Covariance Matrices ◽  
Target Area ◽  
Observation Model ◽  
Tracking Method ◽  
Geometric Deformation ◽  
Projection Transformation

Considering the process of objects imaging in the camera is essentially the projection transformation process. The paper proposes a novel visual tracking method using particle filtering on SL(3) group to predict the changes of the target area boundaries of next moment, which is used for dynamic model. Meanwhile, covariance matrices are applied for observation model. Extensive experiments prove that the proposed method can realize stable and accurate tracking for object with significant geometric deformation, even for nonrigid objects.

An Integral Histogrambased Particle Filtering Tracking Method

2011 ◽  
Vol 40 (11) ◽  
pp. 1761-1766 ◽  
Author(s):  
邱家涛 QIU Jiatao ◽  
李玉山 LI Yushan ◽  
王彩玲 WANG Cailing ◽  
刘洋 LIU Yang
Keyword(s):  
Particle Filtering ◽  
Tracking Method ◽  
Integral Histogram

A New Cardiac Fiber Tracking Method Using Particle Filtering in MRI

2015 ◽  
Vol 5 (7) ◽  
pp. 1438-1443
Author(s):  
Fanhui Kong ◽  
Wanyu Liu ◽  
IsabelleE. Magnin ◽  
Yuemin Zhu
Keyword(s):  
Particle Filtering ◽  
Fiber Tracking ◽  
Tracking Method ◽  
Cardiac Fiber

Representing Space: A Look Back

PsycCRITIQUES ◽  
2012 ◽  
Vol 57 (50) ◽  
Author(s):  
Nancy Franklin
Keyword(s):  
Look Back
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