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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ahn, Junghyun Thalmann, Daniel Boulic, Ronan Wang, Nan |
| Abstract | In this paper, we first present our crowd simulation method, Trajectory Variant Shift (TVS) based on real pedestrian trajectories re-use. We detail how to re-use and shift these trajectories to avoid collisions while retaining the liveliness of captured data. Second, we conducted a user study in a four-screen CAVE to compare our approach with three others when the subject is standing within the crowd to perform a visual search task (waiting for a specific person). Results confirm that our approach is considered as good as the state of the art regarding subject's spatial awareness within the crowd, and better regarding not only the perceived liveliness of the crowd, but also the comfort in the CAVE. |
| Starting Page | 231 |
| Ending Page | 238 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450318259 |
| DOI | 10.1145/2407516.2407573 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-12-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Cave Crowd simulation Collision avoidance |
| Content Type | Text |
| Resource Type | Article |
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