3-D Kalman filter for video and motion estimation

Authors
Kim, Jaemin
ORCID
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Other Contributors
Woods, John W. (John William), 1943-
Cheney, Margaret, 1955-
Kaufman, Howard, 1940-
Modestino, James W.
Issue Date
1994-08
Keywords
Electrical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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.
Description
August 1994
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.