User:Mas868

Michael Shur

Student at Rutgers. Computer Science Major. Has an awesome computer graphics professor.

Crowd Simulation Outline
1.	Crowd simulation is the process of simulating a scene in the physical world where a large number of entities or objects are non-stationary. For example a virtual Times Square NYC environment where numerous people are walking in different directions at the same time. Crowd Simulation is was thought about in theory for years but did not become practically applicable until the early 2000s. Actually implementations of crowd simulation can be seen in several animated films including “Madagascar” and “Horton Hears a Who.”

2.	Theory: Crowd Behavior/ Crowd AI: Goal: Move Realistically Challenges: Animating the entire crowd is the most difficult problem. In other words, transferring animations to each and every character with different timing.

Animating/moving the crowd also becomes more difficult as the complexity of the agents in the crowd increases. For example if each agent is a person with many joints he is capable of making many different kinds of moves.

Move Intelligently? Solution: Path finding using Topological Scene Analysis

3. Application:

An application of crowd simulation is demonstrated in the Mii channel on the game console system, created by Nintendo, known as a “Wii”