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Augmenting Aerial
Earth Maps with Dynamic Information
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Kihwan Kim, Sangmin
Oh, Jeonggyu Lee and Irfan Essa,
College of
Computing, School of Interactive Computing
GVU
Center, Georgia
Institute of Technology

*
IEEE/ACM ISMAR 2009
( International Symposium on Mixed
and Augmented Reality) 2009, Orlando Florida USA
**
This work was in part funded by a Google Research Award
(http://research.google.com/university/relations/research_awards.html). [Paper
(TBA): PDF
| Presentation (talk at ISMAR) : PPT
| BibTex] |
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Abstract
We
introduce methods for augmenting aerial visualizations
of Earth (from tools such as Google Earth or Microsoft
Virtual Earth) with dynamic information obtained from
videos. Our goal is to make Augmented Earth Maps that
visualize the live broadcast of dynamic sceneries within
a city. We propose different approaches to analyze videos
of pedestrians and cars, under differing conditions
and then augment Aerial Earth Maps (AEMs) with live
and dynamic information. We also analyze natural phenomenon
(clouds) and project information from these to the AEMs
to add the visual reality.
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System
Overview

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Result
Images
(Note
that all rendered footages are generated
in real-time)
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Direct
Mapping
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Multiple
View Blending
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Unobservable
region estimation and simulation
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Video-driven
clouds synthesis
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More
restuls

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More
Results from our prototype system using
36 videos : (1) OCCM(View Blending) : (a)
5 Cameras for soccer game (b) Two broadcasting
footages of NCAA Football game (c) Three
surveillance cameras. (2) SCSM(Traffic)
: (d) Merging Lanes (e) Rendered traffic
Scene and corresponding simulated scene
(f) 8 cameras for larger scale traffic simulation
including merge and split (3) DM(Pedestrians)
: (g) Direct mapping of pedestrian having
simple motion (4) SCCM(Clouds) : (h)Four
videos for clouds and sky generation (5)
Putting event to different location (i)
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