DocumentCode
2325556
Title
A method for tracking the pose of known 3-D objects based on an active contour model
Author
Stark, Katrin ; Fuchs, Siegfried
Author_Institution
Dept. of Comput. Sci., Tech. Univ. Dresden, Germany
Volume
1
fYear
1996
fDate
25-29 Aug 1996
Firstpage
905
Abstract
A method for tracking the pose of known 3-D objects moving with 6 degrees of freedom in space is described. The main idea is to split the tracking into two quasi autonomous working processes, one to track the 2-D outline (i.e. silhouette) of the object in an image sequence and one to track the full 3-D object pose based on the estimated 2-D outline. An active contour model utilizing a Kalman filter is used to efficiently track the object outline. Geometric information used is limited to the space curve at the object´s surface projecting to the currently visible outline. The 3-D pose tracker uses the results of the contour tracker, i.e. the position and shape of the outline, and a 3-D object model to track the full object pose. The object pose is derived from an n-point correspondence between the outline and the object´s surface. Furthermore, the pose tracker predicts the object appearance and provides the contour tracker with new model information in case the object aspect changes. Tracking results for polyhedral objects are presented
Keywords
Kalman filters; active vision; computer vision; filtering theory; image sequences; motion estimation; tracking; 2D outline; 3D objects; 3D pose tracker; Kalman filter; active contour model; correspondence; geometric information; image sequence; polyhedral objects; pose tracking; silhouette; space curve; Active contours; Cameras; Computer science; Geometry; Image sequences; Kalman filters; Predictive models; Shape; Solids; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546155
Filename
546155
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