Realistic Crowds via Motion Capture and Cell Marking
| Autor: | Brian C. Ricks, Parris K. Egbert, Seth Brunner |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Movement (music) 020207 software engineering 02 engineering and technology Motion capture Motion (physics) Crowds Crowd control Data_GENERAL 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Crowd simulation Artificial intelligence business Computer animation |
| Zdroj: | Articulated Motion and Deformable Objects ISBN: 9783319417776 AMDO |
| Popis: | Ever since the first use of crowds in films and video games there has been an interest in larger, more efficient and more realistic simulations of crowds. Most crowd simulation algorithms are able to satisfy the viewer from a distance but when inspected from close up the flaws in the individual agent’s movements become noticeable. One of the bigger challenges faced in crowd simulation is finding a solution that models the actual movement of an individual in a crowd. This paper simulates a more realistic crowd by using individual motion capture data as well as traditional crowd control techniques. By augmenting traditional crowd control algorithms with the use of motion capture data for individual agents, we can simulate crowds that mimic more realistic crowd motion, while maintaining real-time simulation speed. |
| Databáze: | OpenAIRE |
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