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Learning Shape and Motion from Image Sequences
Chapter

Learning Shape and Motion from Image Sequences

Abstract

The node‐decoupled extended Kalman filter (NDEKF) algorithm is used to deal with high‐dimensional signals: moving visual images. Many complexities arise in visual processing that are not present in one‐dimensional prediction problems: the scene may be cluttered with background objects, the object of interest may be occluded, and the system may have to deal with tracking differently shaped objects at different times. This chapter looks at the …

Authors

Patel GS; Becker S; Racine R

Book title

Kalman Filtering and Neural Networks

Pagination

pp. 69-81

Publisher

Wiley

Publication Date

October 2001

DOI

10.1002/0471221546.ch3