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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
         
        
            Conference_Location : 
Seattle, WA
         
        
        
            Print_ISBN : 
0-8186-5825-8
         
        
        
            DOI : 
10.1109/CVPR.1994.323904