Name
Abstract | ||
|---|---|---|
In a proposed methodology for modeling dynamic crowd scenarios, a video corpus informs the modeling process, after which the resultant animations undergo perception-based evaluation. The aim is to improve the crowd's visual plausibility rather than the simulation's correctness. A real-life crowd animation system demonstrates the methodology's practical application. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MCG.2009.69 | IEEE Computer Graphics and Applications |
Keywords | DocType | Volume |
dynamic crowd scenario,modeling groups,video corpus,modeling process,plausible virtual pedestrians,plausible virtual pedestrian,resultant animation,real-life crowd animation system,visual plausibility,practical application,perception-based evaluation,proposed methodology,data mining,navigation,computer graphics,animation,computational modeling,crowd simulation,virtual reality,computer graphic,computer animation,real time systems | Journal | 29 |
Issue | ISSN | Citations |
4 | 0272-1716 | 32 |
PageRank | References | Authors |
1.32 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher Peters | 1 | 116 | 12.57 |
| Cathy Ennis | 2 | 127 | 8.74 |