Passive vision: The global webcam imaging network

Nathan Jacobs, Richard Souvenir, Robert Pless

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The web has an enormous collection of live cameras that image parks, roads, cities, beaches, mountains, buildings, parking lots. There are a wide variety of problems that could effectively use this massively distributed, scalable, and already existing camera network. To move towards this goal, this paper discusses ongoing research with the AMOS (Archive of Many Outdoor Scenes) database, which includes images from 1000 cameras captured every half hour over the last 3 years. In particular, we offer (1) algorithms for geo-locating and calibrating these cameras just from image data, (2) a set of tools to annotate parts of the scene in view (e.g. ground plane, roads, sky, trees), and (3) advances in algorithms to automatically infer weather information (e.g. wind-speed, vapor pressure) from image data alone.

Original languageEnglish
Title of host publicationApplied Imagery Pattern Recognition 2009
Subtitle of host publicationVision: Humans, Animals, and Machines, AIPR 2009
DOIs
StatePublished - 2009
Event38th Applied Imagery Pattern Recognition Workshop: Vision: Humans, Animals, and Machines, AIPRW 2009 - Washington, DC, United States
Duration: Oct 14 2009Oct 16 2009

Publication series

NameProceedings - Applied Imagery Pattern Recognition Workshop
ISSN (Print)1550-5219

Conference

Conference38th Applied Imagery Pattern Recognition Workshop: Vision: Humans, Animals, and Machines, AIPRW 2009
Country/TerritoryUnited States
CityWashington, DC
Period10/14/0910/16/09

ASJC Scopus subject areas

  • Engineering (all)

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