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Extra resources for Computer Vision — ECCV 2000: 6th European Conference on Computer Vision Dublin, Ireland, June 26–July 1, 2000 Proceedings, Part II
The difficultAvailable problem of editor, Learning in Graphical Models. MIT Press, 1999. gz. Ripley. [4,6,7,14]) and simulation. no single approach has met 1987. with resounding success. 19. D. Stochastic New York: Wiley, In experience, survival diagnostic is asofuseful asmotion. any other indicator IEEEand In20. our C. Wren and A. the Pentland. Dynamic modeling human In Third has the significant advantage of having Face negligible computational cost. ternational Conference o n Automatic and Gesture Recognition, Nara, Japan, April 1998.
18] J. MacCormick and A. Blake. Spatial dependence in the observation of visual contours. In Proceedings of the Fifth European Conference on Computer vision (ECCV’98), pages 765–781, 1998.  M. Haag and H-H. Nagel. Tracking of complex driving manoeuvres in traﬃc image sequences. Image and Vision Computing, 16:517–527, 1998.  J. K. Aggarwal, Q. Cai, W. Liao, and B. Sabata. Nonrigid motion analysis: articulated and elastic motion. Computer Vision and Image Understanding, 70(2):142– 156, 1998.
Real-Time Tracking of Multiple Articulated Structures in Multiple Views 29 Articulated structures: This is really a special case of constrained multiple structures, except that there are usually more constraints. A hinged structure, for example has seven degrees of freedom (six for position in the world and one for the angle of the hinge). When the two components of the structure are independently tracked, there are ﬁve hinge constraints which apply to the system. Because these constraints exist in the world, it is highly desirable to impose them on the system of trackers.