Movement Epenthesis Detection in Continuous Fingerspelling from a Coarsely Sampled Motion Vector Field in H.264/AVC Video

2018 ◽  
Author(s):  
Anjan Kumar Talukdar ◽  
M. K. Bhuyan
Keyword(s):  
Vector Field ◽  
Motion Vector ◽  
Motion Vector Field

scholarly journals Frame interpolation with pixel-level motion vector field and mesh based hole filling

2016 ◽  
Vol 1 (1) ◽  
pp. 72-78 ◽  
Author(s):  
Chuanxin Tang ◽  
Ronggang Wang ◽  
Zhu Li ◽  
Wenmin Wang ◽  
Wen Gao
Keyword(s):  
Vector Field ◽  
Motion Vector ◽  
Hole Filling ◽  
Frame Interpolation ◽  
Motion Vector Field

scholarly journals Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint

2014 ◽  
Vol II-1 ◽  
pp. 9-16 ◽  
Author(s):  
S. Hosseinyalamdary ◽  
A. Yilmaz
Keyword(s):  
Vector Field ◽  
Optical Flow ◽  
Motion Vector ◽  
Epipolar Geometry ◽  
Estimation Methods ◽  
Brightness Constancy ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Motion Vector Field ◽  
Field Estimation

In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation. This paper uses the IMU measurements to reconstruct the epipolar geometry and it integrates the epipolar geometry constraint with the brightness constancy assumption in the Lucas-Kanade method. The proposed method has been tested using the KITTI dataset. The results show the improvement in motion vector field estimation in comparison to the Lucas-Kanade optical flow estimation. The same approach has been used in the KLT tracker and it has been shown that using epipolar geometry constraint can improve the KLT tracker. It is recommended that the epipolar geometry constraint is used in advanced variational optical flow estimation methods.

On avoiding singularities in redundant robot kinematics

Robotica ◽  
1995 ◽  
Vol 13 (6) ◽  
pp. 599-606 ◽  
Author(s):  
Krzysztof Tchoń ◽  
Aleksander Matuszok
Keyword(s):  
Vector Field ◽  
Equilibrium Points ◽  
Motion Vector ◽  
Sufficient Conditions ◽  
The Self ◽  
Robot Kinematics ◽  
Redundant Robot ◽  
Singular Configurations ◽  
Motion Vector Field ◽  
Self Motion

SummaryFor redundant robot kinematics with a degree of redundancy 1 a self-motion vector field is examined whose equilibrium points lie at singular configurations of the kinematics, and whose orbits determine the self-motion manifolds. It is proved that the self-motion vector field is divergence-free. Locally, around singular configurations of corank 1, the self-motion vector field defines a 2-dimensional Hamiltonian dynamical system. An analysis of the phase portrait of this system in a neighbourhood of a singular configuration solves completely the question of avoidability or unavoidability of this configuration. Complementarily, sufficient conditions for avoidability and unavoidability are proposed in an analytic form involving the self-motion Hamilton function. The approach is illustrated with examples. A connection with normal forms of kinematics is established.

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