Particle filter for object tracking
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Revision as of 18:50, 29 February 2008 by ManuelFossati (Talk | contribs)
Contents
Part 1: project profile
Project name
Particle filter for object tracking.
Project short description
The aim of this project is to construct a robust particle filter for object tracking, able to follow a moving object given its starting position (in a fixed scene). To obtain this goal, we compare different similarity measures, such as color histograms and joint spatial-color mixtures of gaussians, in different color spaces (RGB, HSV).
Dates
Start date:
End date:
Internet site(s)
People involved
Project head(s)
Matteo Matteucci - matteucc (at) elet (dot) polimi (dot) it
Other Politecnico di Milano people
Davide Migliore - migliore (at) elet (dot) polimi (dot) it
Students
Manuel Fossati - manuel (dot) fossati (at) mail (dot) polimi (dot) it
External personnel:
Laboratory work and risk analysis
Since laboratory work for this project is limited to software related activities, there are no potential risks.
