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Kalman filter for improving optical flow accuracy along moving boundaries
J. N. Pan
, Yun Q. Shi
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Scopus citations
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Dive into the research topics of 'Kalman filter for improving optical flow accuracy along moving boundaries'. Together they form a unique fingerprint.
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Keyphrases
Moving Boundary
100%
Kalman Filter
100%
Optical Flow
100%
Flow Accuracy
100%
Optical Flow Field
42%
Decrease Rate
28%
Accuracy Improvement
14%
Good Accuracy
14%
System Noise
14%
3D Position
14%
Correlation-based
14%
Field Approach
14%
Image Plane
14%
Gaussian White Noise
14%
Deblurring
14%
Measurement Noise Covariance Matrix
14%
Engineering
Kalman Filter
100%
Flow Accuracy
100%
Optical Flow Field
50%
Decreasing Rate
33%
Tasks
16%
Filtration
16%
Good Accuracy
16%
Assuming
16%
Gaussian White Noise
16%
Covariance Matrix
16%
Measurement Noise
16%
Field Quantity
16%
Image Plane
16%
Physics
Flow Distribution
100%
Gaussian Distribution
33%
Covariance
33%
Noise Measurement
33%
White Noise
33%