Probabilistic graphicalmodels for human motion tracking

Graphical models have proved to be very efficient models for labeling image data. In particular, they have been used to label data samples fromhuman body images. In this paper, a DTG-based graphical model is studied for human-body landmark localization and tracking along the image sequence. Experimental results on human motion databases are shown.