Occlusion in Dynamic Scene Analysis
This paper presents several fundamental concepts necessary for the successful analysis of dynamic scenes containing occluding objects by discussing various systems which have been developed to perform this analysis. The dynamic scenes are represented by time ordered sequences of images. Data must be extracted from each of these images and then integrated into coherent information about the sequence as a whole.
KeywordsObject Model Object Boundary Angular Measure Dynamic Scene Occlude Object
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- 6.J.W. Roach and J.K. Aggarwal, “On the ambiguity of three-dimensional analysis of a moving object from its images,” WCATVI, 1979, pp. 46–47.Google Scholar
- 7.J. Webb, “Static analysis of moving jointed objects,” to appear in the First National Artificial Intelligence Conference, Stanford, California, 1980.Google Scholar
- 8.S. Yalamanchili, W.N. Martin, and J.K. Aggarwal, “Differencing operations for the segmentation of moving objects in dynamic scenes,” to appear in the Fifth International Conference on Pattern Recognition, Miami, Florida, 1980.Google Scholar
- 9.H.-H. Nagel, “Analysis techniques for image sequences,” International Joint Conference on Pattern Recognition, 1978, pp. 186–211.Google Scholar
- 10.Abstracts of the Workshop on Computer Analysis of Time-Varing Imagery (WCATVI), J.K. Aggarwal and N.I. Badler, eds., 1979.Google Scholar
- 11.R. Petermann, “Computer analysis of planar motion of polygons,” Master’s Thesis, University of Texas at Austin, Jan. 1975.Google Scholar