In this paper, computer vision and fuzzy set theory are merged for the robust construction of three-dimensional objects using a small number of cameras and minimal a priori knowledge about the objects. This work extends our previously defined crisp model, which has been successfully used for recognizing and linguistically summarizing human activity. The objects true features more closely resemble the fuzzy object than those of the crisp object. This is demonstrated both empirically and through the comparison of features used in tracking human activity. Keywords--computer vision, human activity analysis, fuzzy objects, fuzzy voxel person.
Derek Anderson, Robert H. Luke III, Erik E. Stone,