Videos

Augmented Reality Experiment (Chapter I – Fig. 1.8)

On the left the result with the Kalman filter, on the right with the SVK.

 

The same video at a lower frame rate (1 fps)

 
 

Mean-shift tracking through occlusions (Chapter I - Fig. 1.9)

Red: Mean-shift. Blue: Mean-shift + Kalman. Cyan: Mean-shift + SVK.

 
 

Dollar Sequence (Chapter II - Fig. 2.7)

 
 

Faceocc2 Sequence (Chapter II - Fig. 2.9)

 
 

Coke Sequence (Chapter II - Fig. 2.11)

 
 

CAVIAR_1 sequence (Chapter III - Fig. 3.4)

 
 

CAVIAR_2 sequence (Chapter III - Fig. 3.5)

 
 

CAVIAR_3 sequence (Chapter III - Fig. 3.6)

 
 

ISSIA_P sequence (Chapter III - Fig. 3.8)

 
 

Object Recognition in Clutter and Occlusions (Chapter IV)
This video demonstrate object recognition by means of CSHOT point-to-point correspondences and Hough voting in RGB-D data provided by a Kinect sensor .

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