grant

Statistical Methods of Model Fitting and Segmentation in Computer Vision [ 2008 - 2011 ]

Research Grant

[Cite as http://purl.org/au-research/grants/arc/DP0878801]

Researchers Prof D Suter; A/Prof A Bab-Hadiashar

Brief description Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc.

Funding Amount $422,000

Funding Scheme Discovery Projects

Click to explore relationships graph
Identifiers
Viewed: [[ro.stat.viewed]]