The movie clip below provides an insight into some particularly note worthy research, not just in terms of Google Earth, but also in terms of collecting and visualising traffic and pedestrian data:

Its not the overlaying of video clips in Google Earth, but the animation of complex traffic patterns in a digital city which we see as innovative. This has notable potential for populating city models with real-time traffic and crowd data as well as for the validation of agent based models.

Picked up via http://www.gearthblog.com

See http://www.cc.gatech.edu/cpl/projects/augearth/ for full details – very neat.

The post Dynamic 3D Models in Google Earth: Traffic and Pedestrian Visualisation appeared first on Digital Urban.

The movie clip below provides an insight into some particularly note worthy research, not just in terms of Google Earth, but also in terms of collecting and visualising traffic and pedestrian data:

Its not the overlaying of video clips in Google Earth, but the animation of complex traffic patterns in a digital city which we see as innovative. This has notable potential for populating city models with real-time traffic and crowd data as well as for the validation of agent based models.

Picked up via http://www.gearthblog.com

See http://www.cc.gatech.edu/cpl/projects/augearth/ for full details – very neat.

The post Dynamic 3D Models in Google Earth: Traffic and Pedestrian Visualisation appeared first on Digital Urban.

Three dimensional video tracking has been around for a while but it is generally restricted to high end packages. If you have ever wanted to tag data onto video objects, analyse traffic flows and pedestrian paths or augment scenes then the video below brings it a step closer to consumer level:

For more information take a look at the following publications:

Goldman, D. B, Gonterman, C., Curless, B., Salesin, D., and Seitz, S. M. 2008. Video object annotation, navigation, and composition. In UIST ’08: Proceedings of the 21st annual ACM symposuim on User Interface Software and Technology, 3–12.

Goldman, Daniel R. 2007. A framework for video annotation, visualization, and interaction, PhD Thesis, University of Washington.Goldman, D. B., Curless, B., Seitz, S. M., and Salesin, D. H. 2006. Schematic storyboarding for video visualization and editing. ACM Transactions on Graphics (Proc. SIGGRAPH), 25(3), 862–871.

The post Video Tracking and Manipulation: Adobe and University of Washington appeared first on Digital Urban.

Toms YouTube movie below provides full details:

The possibilities are notable and Tom should be congratulated on the methodology…

The post GIS Timelapse for Pedestrian Movement Analysis appeared first on Digital Urban.

Toms YouTube movie below provides full details:

The possibilities are notable and Tom should be congratulated on the methodology…

The post GIS Timelapse for Pedestrian Movement Analysis appeared first on Digital Urban.