Name
Abstract | ||
|---|---|---|
Summary form only given. To make Virtual Reality (VR) world closer to reality, it is necessary to acquire much information from the real-world. Especially for simulation of transportation, it is important for VR world to obtain traffic flow in reality. This paper describes an application to compute traffic flow through a sequence of images captured with video camera. In this search, camera is not set above the roadway but beside the roadway. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CW.2013.32 | CW |
Keywords | Field | DocType |
video camera,transportation simulation,virtual reality,bayes theory,camera,vr,traffic flow,image sequence,image sequences,traffic flow sensing,vr world,computer vision,road traffic | Computer vision,Object detection,Traffic flow,Virtual reality,Computer graphics (images),Computer science,Road traffic,Solid modeling,Artificial intelligence,Video camera | Conference |
ISBN | Citations | PageRank |
978-1-4799-2245-1 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guo Tian | 1 | 0 | 0.34 |
| Takuya Akashi | 2 | 20 | 9.57 |