TY - GEN
T1 - Passive vision
T2 - 38th Applied Imagery Pattern Recognition Workshop: Vision: Humans, Animals, and Machines, AIPRW 2009
AU - Jacobs, Nathan
AU - Souvenir, Richard
AU - Pless, Robert
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77953851507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953851507&partnerID=8YFLogxK
U2 - 10.1109/AIPR.2009.5466314
DO - 10.1109/AIPR.2009.5466314
M3 - Conference contribution
AN - SCOPUS:77953851507
SN - 9781424451463
T3 - Proceedings - Applied Imagery Pattern Recognition Workshop
BT - Applied Imagery Pattern Recognition 2009
Y2 - 14 October 2009 through 16 October 2009
ER -