Difference between revisions of "B-Smart Behaviour Sequence Modeler and Recognition tool"
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== '''Part 2: project description''' == | == '''Part 2: project description''' == | ||
| − | Stay tuned for updates | + | As previously said the aim of this project is to develop a framework which will be able recognize, model and classify behaviours in the most widely way. |
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| + | Actually there is a basic framework written in python which showed good results in modelling and classification tasks. This framework will be soon extended to classify behaviours taken from a video source and it will completely rewritten in C+++. | ||
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| + | Stay tuned for updates. | ||
Latest revision as of 00:06, 18 July 2008
Contents
Part 1: project profile
Project name
B Smart: Behaviour sequences modeler and recognition tool
Project short description
This project is aimed at developing a tool to recognize, model and classify behaviours in the most widely way using HMMs.
Dates
Start date: 2007/03/01
End date: 2010/12/31
Website(s)
none so far
People involved
Nicolas Tagliani User:NicolasTagliani
Alessandro Stranieri User:AlessandroStranieri
Project head(s)
Matteo Matteucci User:MatteoMatteucci
Students currently working on the project
Nicolas Tagliani - User:NicolasTagliani
Alessandro Stranieri - User:AlessandroStranieri
Laboratory work and risk analysis
Laboratory work for this project will be mainly performed at AIRLab/Lambrate. There won't be any risks related to this project because it's a totally software tool.
Part 2: project description
As previously said the aim of this project is to develop a framework which will be able recognize, model and classify behaviours in the most widely way.
Actually there is a basic framework written in python which showed good results in modelling and classification tasks. This framework will be soon extended to classify behaviours taken from a video source and it will completely rewritten in C+++.
Stay tuned for updates.
