Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2009 | PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | computer vision, human activity analysis, fuzzy objects, fuzzy voxel person |
Field | DocType | Citations |
Small number,Voxel,Fuzzy classification,Fuzzy logic,A priori and a posteriori,Fuzzy set,Artificial intelligence,Mathematics | Conference | 1 |
PageRank | References | Authors |
0.52 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Derek Anderson | 1 | 201 | 14.70 |
| Robert H. Luke III | 2 | 18 | 3.78 |
| Erik E. Stone | 3 | 381 | 31.42 |
| James M. Keller | 4 | 3201 | 436.69 |