Abstract Abstract: In current interactive television
schemes, the viewpoints should be manipulated by the user. However,
there is no efficient method, to assist a user in automatically
identifying and tracking the optimum viewpoint when the user
observes the object of interest because many objects, most often
humans, move rapidly and frequently. This paper proposes a novel
framework for determining and tracking the virtual camera to best
capture the front of the person of interest (PoI). First, one PoI is
interactively chosen in a segmented 3D scene reconstructed by space
carving method. Second, key points of the human torso of the PoI are
detected by using a model-based method and the human's global motion
including rotation and translation is estimated by using a
close-formed method with 3 corresponding points. At the last step,
the front direction of PoI is tracked temporally by using the
unscented particle filter (UPF). Experimental results show that the
method can properly compute the front direction of the PoI and
robustly track the best viewpoints.
Received: 27 September 2010
Published: 29 October 2011
