BMVC 2004, Kingston, 7th-9th Sept, 2004
Real-Time Markerless Human Body Tracking with 3-D Voxel Reconstruction
F. Caillette and T. Howard (University of Manchester)
We present an approach to full human-body tracking, using markerless multiview
images as input, performing acquisition, reconstruction and tracking in
real-time on a single PC. Our approach employs a hierarchical visual-hull algorithm
which segments only the most interesting regions of the images and
includes colour information. The tracking step uses blobs attached to a kinematic
model to recover joint angles in an expectation-maximization framework.
We demonstrate the robustness of the approach on video sequences of
various body configurations in an unaugmented office environment. We also
show that tracking challenging poses with self-occlusions is possible without
the processing cost of stochastic sampling schemes.