3-D Kalman filter for video and motion estimation

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178875_thesis.pdf (21.91 MB)
Authors
Kim, Jaemin
Issue Date
1994-08
Type
Electronic thesis
Thesis
Language
ENG
Keywords
Electrical engineering
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Abstract
Noise reduction is very important for improving visual quality and also potentially to the success of subsequent image processing. Since motion vector fields relate successive images of a given scene, reliable estimation of motion vector fields is important for image sequence processing. This thesis applies a stochastic model based method to video and motion estimation.
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August 1994
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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https://hdl.handle.net/20.500.13015/2154
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RPI Theses Online (Complete)