This work presents a new approach for estimating 3D human poses based on monocular camera
information only. For this the Implicit Shape Model is augmented by new voting strategies that
allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then
formulated as a Particle Swarm Optimization (PSO) where projected 3D pose hypotheses are
compared with the generated landmark vote distributions.
