Towards real-time markerless human motion capture from ambiance cameras using an hybrid particle filter
Mathias Fontmarty, Frédéric Lerasle, Patrick Danès · 2008
In this article we present a two ambiance video camera system dedicated to markerless human motion capture. We introduce a new particle filter algorithm which entails an importance function enabling auto-(re)initialisation, and takes account of the global curvature of the likelihood so as to guide the search along poorly observable directions of the state space. The system robustness is improved by fusing different visual cues. Performances are nearly real time.