Probabilistic Tracking and Reconstruction of 3D Human Motion in Monocular Video Sequences
Hedvig Sidenbladh · 2001
The tracking and reconstruction of articulated human motion in 3D is a problem that has attracted a great deal of interest in the last years. A system that recovers 3D body pose from video sequences has applications in vision-based human-computer interaction, marker-less motion capture, animation, surveillance and entertainment such as computer games. The fast, non-linear motion and complicated appearance of humans and the large number degrees of freedom of the human body make the tracking problem a difficult one. To address these problems, a system for tracking and reconstruction of human motion in 3D should possess the following: A strong model for the appearance of humans in images; a model of how people move; and an effective strategy for searching for the right pose in each time step. In previously presented systems, the most common way of addressing these issues has been to constrain the problem domain. The appearance of humans could be constrained by assuming certain clothing and a large contrast between the human and the background. Furthermore, by adding more