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
10 2001
DOI
10.1002/0471221546.ch3