DocumentCode :
2080505
Title :
Qualitative tracking of 3-D objects using active contour networks
Author :
Dickinson, Sven J. ; Jasiobedzki, Piotr ; Olofsson, Göran ; Christensen, Henrik I.
Author_Institution :
Dept. of Comput. Sci., Toronto Univ., Ont., Canada
fYear :
1994
fDate :
21-23 Jun 1994
Firstpage :
812
Lastpage :
817
Abstract :
In this paper, we track changes in the appearance of the object as it moves from one frame to the next. At a symbolic level, an aspect graph clusters all the views of an object into a set of topologically distinct classes in terms of which surfaces of an object are visible from a given viewpoint (Koenderink and van Doom (1979). Two nodes (or aspects) in the aspect graph are connected by an arc if it is possible to directly move from a viewpoint in which the first aspect is visible to a viewpoint in which the second aspect is visible. Qualitatively, we can envision a tracking strategy which simply tracks an object as it moves from one node to another in the object´s aspect graph. Although it does not provide us with accurate pose of the object, it does qualitatively describe the motion of the object without the need for a CAD representation of the object
Keywords :
computer vision; graph theory; tracking; 3-D objects; active contour networks; aspect graph; topologically distinct classes; tracking strategy; Graph theory; Machine vision; Object recognition; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
ISSN :
1063-6919
Print_ISBN :
0-8186-5825-8
Type :
conf
DOI :
10.1109/CVPR.1994.323904
Filename :
323904
Link To Document :
بازگشت