Name
Abstract | ||
|---|---|---|
Navigation and monitoring of large and crowded virtual environments is a challenging task and requires intuitive camera control techniques to assist users. In this paper, we present a novel automatic camera control technique providing a scene analysis framework based on information theory. The developed framework contains a probabilistic model of the scene to build entropy and expectancy maps. These maps are utilized to find interest points which represent either characteristic behaviors of the crowd or novel events occurring in the scene. After an interest point is chosen, the camera is updated accordingly to display this point. We tested our model in a crowd simulation environment and it performed successfully. Our method can be integrated into existent camera control modules in computer games, crowd simulations and movie pre-visualization applications. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s00371-009-0337-1 | The Visual Computer |
Keywords | Field | DocType |
crowd simulation environment,existent camera control module,intuitive camera control technique,scene analysis framework,automatic camera control · information theory · crowds,novel event,interest point,probabilistic model,crowd simulation,novel automatic camera control,information theoretic approach,developed framework,crowded scene,virtual environment,information theory | Information theory,Crowds,Computer vision,Scene analysis,Computer science,Camera auto-calibration,Smart camera,Crowd simulation,Statistical model,Artificial intelligence,Camera control | Journal |
Volume | Issue | ISSN |
25 | 5-7 | 1432-2315 |
Citations | PageRank | References |
8 | 0.53 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cagatay Turkay | 1 | 287 | 22.63 |
| Emre Koc | 2 | 19 | 2.26 |
| Selim Balcisoy | 3 | 264 | 37.15 |