Particle filter for object tracking
Part 1: project profile
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).
Matteo Matteucci - matteucc (at) elet (dot) polimi (dot) it
Other Politecnico di Milano people
Davide Migliore - migliore (at) elet (dot) polimi (dot) it
Manuel Fossati - manuel (dot) fossati (at) mail (dot) polimi (dot) it
Laboratory work and risk analysis
Since laboratory work for this project is limited to software related activities, there are no potential risks.