Difference between revisions of "B-Smart Behaviour Sequence Modeler and Recognition tool"

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=== People involved ===
 
=== People involved ===
 
Nicolas Tagliani [[User:NicolasTagliani]]
 
Nicolas Tagliani [[User:NicolasTagliani]]
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Alessandro Stranieri [[User:AlessandroStranieri]]
 
Alessandro Stranieri [[User:AlessandroStranieri]]
  
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Nicolas Tagliani - [[User:NicolasTagliani]]
 
Nicolas Tagliani - [[User:NicolasTagliani]]
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Alessandro Stranieri - [[User:AlessandroStranieri]]
  
 
=== Laboratory work and risk analysis ===
 
=== Laboratory work and risk analysis ===
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== '''Part 2: project description''' ==
 
== '''Part 2: project description''' ==
  
Stay tuned for updates. This is only a preliminary page.
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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

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.