Behavior recognition from visual data

Title:	Behavior recognition from visual data	Image:gesturelib.jpg
Description:	In the literature several approaches have been used to model observed behaviors and these date back to early approaches in animal behavior Material: papers from major journals and conferences kinet SDK for the extraction of body poses Expected outcome: general framework for the recognition of behaviors from time series toolkit for behavior segmentation and recognition from time series running prototype based on data coming from the Microsoft kinect sensor Required skills or skills to be acquired: understanding of techniques for behavior recognition background on pattern recognition and stochastic models basic understanding of computer vision C++ programming under Linux or Matlab
Tutor:	MatteoMatteucci (matteo.matteucci@polimi.it), AndreaBonarini (andrea.bonarini@polimi.it)
Start:	2012/04/01
Students:	1 - 2
CFU:	20 - 20
Research Area:	Machine Learning
Research Topic:	none
Level:	Ms
Type:	Thesis
Status:	Active